In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching

GuP: Fast Subgraph Matching by Guard-based Pruning

Proceedings of the ACM on Management of Data

HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs


Sonification Tools and Resources for Analysis Using Sound Synthesis

Evaluating the efficacy of sonification for signal detection in univariate, evenly sampled light curves using astronify

Introducing STRAUSS: A flexible sonification Python package

SonoUno development: a User-Centered Sonification software for data analysis

Erie: A Declarative Grammar for Data Sonification

Proceedings of the CHI Conference on Human Factors in Computing Systems


LocusCompareR is a R package with visualization tools for comparing two genetic association datasets.

Electronic health record-based genome-wide meta-analysis provides insights on the genetic architecture of non-alcoholic fatty liver disease

Integrating genetic regulation and single-cell expression with GWAS prioritizes causal genes and cell types for glaucoma

GALCvariants affect galactosylceramidase enzymatic activity and risk of Parkinson's disease

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration

Colocalization of blood cell traits GWAS associations and variation in PU.1 genomic occupancy prioritizes causal noncoding regulatory variants

bioRxiv : the preprint server for biology

A Trans-Omic Mendelian Randomization Study of Parental Lifespan Uncovers Novel Aging Biology and Drug Candidates for Human Healthspan Extension


Genetic risk prediction integrating LD and functional annotations

Leveraging functional annotations in genetic risk prediction for human complex diseases

Improved genetic prediction of complex traits from individual-level data or summary statistics

Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction

Polygenic risk scores: effect estimation and model optimization


Spitfire is a Python/C++ library for constructing tabulated chemistry models and solving differential equations.

Cost function for low-dimensional manifold topology assessment

Local manifold learning and its link to domain-based physics knowledge


Mid-Latitude Evaluation System

Bidimensional Diagnostics, Variability, and Trends of Northern Hemisphere Blocking

Changes in meandering of the Northern Hemisphere circulation

The representation of winter Northern Hemisphere atmospheric blocking in ECMWF seasonal prediction systems

Quarterly Journal of the Royal Meteorological Society


The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation

SpatialNet: Extensively Learning Spatial Information for Multichannel Joint Speech Separation, Denoising and Dereverberation

Multi-Channel Narrow-Band Deep Speech Separation with Full-Band Permutation Invariant Training

Multichannel Long-Term Streaming Neural Speech Enhancement for Static
  and Moving Speakers

Multichannel Speech Separation with Narrow-band Conformer

NBC2: Multichannel Speech Separation with Revised Narrow-band Conformer


SciRepEval benchmark training and evaluation scripts

The Semantic Scholar Open Data Platform

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding


Scripts to extract features of cortical folding from MRI

Independent components of human brain morphology

Neuro-evolutionary evidence for a universal fractal primate brain shape

Multiscale cortical morphometry reveals pronounced regional and scale-dependent variations across the lifespan


R Wrapper for the Energy Information Administration (EIA) API


a Sparse Direct Solver modulo p

Cluster adjacency and the four-loop NMHV heptagon

Complete integration-by-parts reductions of the non-planar hexagon-box via module intersections

Cluster adjacency beyond MHV

Integration-by-parts reductions of Feynman integrals using Singular and GPI-Space

Bootstrapping a stress-tensor form factor through eight loops

The Steinmann Cluster Bootstrap for N=4 Super Yang-Mills Amplitudes

NeatIBP 1.0, a package generating small-size integration-by-parts relations for Feynman integrals

Equivariant birational geometry and modular symbols

SymBuild: a package for the computation of integrable symbols in scattering amplitudes

The SAGEX review on scattering amplitudes Chapter 5: Analytic bootstraps for scattering amplitudes and beyond


ERKALE -- HF/DFT from Hel

Open source molecular modeling

Journal of molecular graphics & modelling

Fully numerical Hartree‐Fock and density functional calculations. II. Diatomic molecules

International Journal of Quantum Chemistry

Orbital optimisation in the perfect pairing hierarchy: applications to full-valence calculations on linear polyacenes

Fully numerical electronic structure calculations on diatomic molecules in weak to strong magnetic fields

Meta-GGA Density Functional Calculations on Atoms with Spherically Symmetric Densities in the Finite Element Formalism

On the Estimation of the Molecular Inaccessible Volume and the Molecular Accessible Surface of a Ligand in Protein Ligand Systems


software package for integrative genetic association analysis

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Bayesian Multi-SNP Genetic Association Analysis: Control of FDR and Use of Summary Statistics

Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification

Integrating genetic regulation and single-cell expression with GWAS prioritizes causal genes and cell types for glaucoma

MARS: leveraging allelic heterogeneity to increase power of association testing

Zenodo (CERN European Organization for Nuclear Research)


Species distribution modeling tools, including a python implementation of Maxent


Single-cell ATAC-seq analysis via Latent feature Extraction

SCALE method for single-cell ATAC-seq analysis via latent feature extraction

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

Variant to function mapping at single-cell resolution through network propagation

Modeling fragment counts improves single-cell ATAC-seq analysis


The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.

Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion

CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion

Subsampling for Knowledge Graph Embedding Explained

PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning


Paper List for Fair Graph Learning (FairGL).

InFoRM: Individual Fairness on Graph Mining

Individual Fairness for Graph Neural Networks: A Ranking based Approach

A Unifying Framework for Fairness-Aware Influence Maximization

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM Transactions on Intelligent Systems and Technology

Applying Fairness Constraints on Graph Node Ranks Under Personalization Bias

Fairness-Aware Recommendation in Multi-Sided Platforms

Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

Fair Graph Representation Learning with Imbalanced and Biased Data


PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix

U-Net: Convolutional Networks for Biomedical Image Segmentation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

A ConvNet for the 2020s

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Selective Kernel Networks

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Class-Balanced Loss Based on Effective Number of Samples

On the Variance of the Adaptive Learning Rate and Beyond

RepVGG: Making VGG-style ConvNets Great Again

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes


Universal and Transferable Adversarial Attacks on Aligned Language Models

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

On Prompt-Driven Safeguarding for Large Language Models

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs
  against Jailbreak Attacks

Adversarial Contrastive Decoding: Boosting Safety Alignment of Large
  Language Models via Opposite Prompt Optimization


AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs

XPersona: Evaluating Multilingual Personalized Chatbot

DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation

Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech

Multi-Lingual Question Generation with Language Agnostic Language Model

Meeting of the Association for Computational Linguistics

Leveraging Pre-trained Models for Failure Analysis Triplets Generation


We propose EfficientDerain for high-efficiency single-image deraining at AAAI 2021. The latest extended version has been accepted by IJCV at 2024. Please check the released code at https://github.com/tsingqguo/efficientderainplus and paper at https://arxiv.org/pdf/2201.02366.

EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

Not Just Streaks: Towards Ground Truth for Single Image Deraining

Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining


A High Performance Unified Framework for Geostatistics on Manycore Systems.

ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems

Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures

Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization

Efficiency assessment of approximated spatial predictions for large datasets

Large-scale Environmental Data Science with ExaGeoStatR


Detection of filamentary structure in molecular clouds

Filament Identification through Mathematical Morphology

Filamentary Accretion Flows in the Infrared Dark Cloud G14.225–0.506 Revealed by ALMA

Dense Gas Kinematics and a Narrow Filament in the Orion A OMC1 Region Using NH3

ALMA Observations of NGC 6334S. II. Subsonic and Transonic Narrow Filaments in a High-mass Star Formation Cloud

The straight and isolated G350.54+0.69 filament: density profile and star formation content

Monthly notices of the Royal Astronomical Society

The Role of Filamentary Structures in the Formation of Two Dense Cores, L1544 and L694-2

A Search for Cloud Cores Affected by Shocked Carbon Chain Chemistry in L1251

Sequential star formation in the filamentary structures of the Planck Galactic cold clump G181.84+0.31

Monthly Notices of the Royal Astronomical Society

ALMA Uncovers Highly Filamentary Structure toward the Sgr E Region

The Giant Molecular Cloud G148.24+00.41: Gas Properties, Kinematics, and Cluster Formation at the Nexus of Filamentary Flows


A collection of open source DICE and DICE-like models


A Python library for building atomic neural networks

PiNN: A Python Library for Building Atomic Neural Networks of Molecules and Materials

Journal of chemical information and modeling

Modelling electrochemical systems with finite field molecular dynamics

Training Algorithm Matters for the Performance of Neural Network Potential

Machine learning inference of molecular dipole moment in liquid water

Machine Learning: Science and Technology


A global likelihood for the Standard Model Effective Field Theory

A global likelihood for precision constraints and flavour anomalies

Rare b decays meet high-mass Drell-Yan

A model of muon anomalies

Anomalies in B mesons decays: a phenomenological approach

smelli -- the SMEFT Likelihood

Computing tools for effective field theories

Anomalies in B mesons decays: Present status and future collider prospects


Mixed graph Laplacian upscaling and solvers

Multilevel spectral coarsening for graph Laplacian problems with application to reservoir simulation

An Aggregation-based Nonlinear Multigrid Solver for Two-phase Flow and Transport in Porous Media

Nonlinear multigrid based on local spectral coarsening for heterogeneous diffusion problems

Computer Methods in Applied Mechanics and Engineering

Multilevel well modeling in aggregation-based nonlinear multigrid for multiphase flow in porous media


Progressive Growing of GANs for Improved Quality, Stability, and Variation

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

Unmasking DeepFakes with simple Features

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

Evaluating Differentially Private Machine Learning in Practice

Revisiting Membership Inference Under Realistic Assumptions

Are Attribute Inference Attacks Just Imputation?

Investigating Membership Inference Attacks under Data Dependencies

Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning


An automated RNA-seq pipeline using Nextflow

Dynamic changes in intron retention are tightly associated with regulation of splicing factors and proliferative activity during B-cell development

Targeted De-Methylation of the FOXP3-TSDR Is Sufficient to Induce Physiological FOXP3 Expression but Not a Functional Treg Phenotype

Brain transcriptomic profiling reveals common alterations across neurodegenerative and psychiatric disorders

Human IgA-Expressing Bone Marrow Plasma Cells Characteristically Upregulate Programmed Cell Death Protein-1 Upon B Cell Receptor Stimulation

bsAS, an antisense long non-coding RNA, essential for correct wing development through regulation of blistered/DSRF isoform usage

The histone code reader PHD finger protein 7 controls sex-linked disparities in gene expression and malignancy in Drosophila

Prolactin-sensitive olfactory sensory neurons regulate male preference in female mice by modulating responses to chemosensory cues


HBT+ subhalo finder and merger tree builder, the tool to get you out of mess and back to physics.

Hunting for galaxies and halos in simulations with VELOCIraptor

Publications of the Astronomical Society of Australia

HBT+: an improved code for finding subhaloes and building merger trees in cosmological simulations.

The multidimensional dependence of halo bias in the eye of a machine: a tale of halo structure, assembly, and environment

A natural boundary of dark matter haloes revealed around the minimum bias and maximum infall locations

First measurement of the characteristic depletion radius of dark matter haloes from weak lensing

Orbital Distribution of Infalling Satellite Halos across Cosmic Time

Halo Merger Tree Comparison: Impact on Galaxy Formation Models

Physical Evolution of Dark Matter Halo around the Depletion Boundary

A natural boundary of dark matter halo revealed at the minimum bias and maximum infall location.

The connection between halo concentrations and assembly histories: a probe of gravity?


Functions to support the ICES Transparent Assessment Framework


Multipurpose Multi Speaker Mixture Signal Generator

Deep clustering: Discriminative embeddings for segmentation and separation

SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition

Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization

MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator


A modular PyTorch library for vision transformer models

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

CvT: Introducing Convolutions to Vision Transformers

ViViT: A Video Vision Transformer

Vision Transformers for Dense Prediction

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Visformer: The Vision-friendly Transformer


A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.

Efficient non-Markovian quantum dynamics using time-evolving matrix product operators

Non-Markovian quantum processes: Complete framework and efficient characterization

Exploiting the Causal Tensor Network Structure of Quantum Processes to Efficiently Simulate Non-Markovian Path Integrals.

Efficient Exploration of Hamiltonian Parameter Space for Optimal Control of Non-Markovian Open Quantum Systems

Efficient real-time path integrals for non-Markovian spin-boson models


Python wrapper around the Concorde TSP solver

Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning

IEEE transactions on neural networks and learning systems

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Graph-based SLAM-Aware Exploration with Prior Topo-Metric Information

Solving the Joint Order Batching and Picker Routing Problem for Large Instances


The PyTorch implementation of LightGCN

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

How Powerful is Graph Convolution for Recommendation?

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges

Infinite Recommendation Networks: A Data-Centric Approach

Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations

Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation

Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems

Proceedings of the 31st ACM International Conference on Information & Knowledge Management


ValueNet: A Neural Text-to-SQL Architecture Incorporating Values

Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation

ValueNet: A Natural Language-to-SQL System that Learns from Database Information


[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

WRENCH: A Comprehensive Benchmark for Weak Supervision

Learning Hyper Label Model for Programmatic Weak Supervision

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision

Ground Truth Inference for Weakly Supervised Entity Matching

Understanding Programmatic Weak Supervision via Source-aware Influence Function

Meta Self-Refinement for Robust Learning with Weak Supervision

How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking

Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification

Binary Classification with Positive Labeling Sources


A Python API for estimating statistical high-order epistasis in genotype-phenotype maps.

High-order epistasis shapes evolutionary trajectories

Molecular ensembles make evolution unpredictable

Proceedings of the National Academy of Sciences of the United States of America

Uninterpretable interactions: epistasis as uncertainty

Master regulators of biological systems in higher dimensions

Master regulators of evolution and the microbiome in higher dimensions


Python package of spatial calibration tools for science & engineering camera systems.

Beryllium global erosion and deposition at JET-ILW simulated with ERO2.0

Quiescence near the X-point of MAST measured by high speed visible imaging

Characterisation of detachment in the MAST-U Super-X divertor using multi-wavelength imaging of 2D atomic and molecular emission processes

Fluctuation characteristics of the TCV snowflake divertor measured with high speed visible imaging

Tomographic reconstruction of the runaway distribution function in TCV using multispectral synchrotron images


Gauge-including magnetically induced currents.

Benchmarking Magnetizabilities with Recent Density Functionals

Journal of chemical theory and computation

Stabilizing a metalloid {Zn12} unit within a polymetallide environment in [K2Zn20Bi16]6−

Integration of global ring currents using the Ampère-Maxwell law.

Physical chemistry chemical physics : PCCP

Spatial Contributions to Nuclear Magnetic Shieldings

Magnetic Characterization of the Infinitene Molecule

Current density, current-density pathways and molecular aromaticity

Magnetically Induced Current Densities in Zinc Porphyrin Nanoshells

Spatial Contributions to 1H NMR Chemical Shifts of Free-Base Porphyrinoids

Revisiting Gauge-Independent Kinetic Energy Densities in Meta-GGAs and Local Hybrid Calculations of Magnetizabilities

Computational study of aromaticity, 1H NMR spectra and intermolecular interactions of twisted thia-norhexaphyrin and its multiply annulated polypyrrolic derivatives.


Generalized Targeted Learning Framework

Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials

Canonical Least Favorable Submodels:A New TMLE Procedure for Multidimensional Parameters

Kernel Smoothing of the Treatment Effect CDF


GREAT Analysis - Functional Enrichment on Genomic Regions

The mitochondrial pyruvate carrier regulates memory T cell differentiation and antitumor function

Genomic Resolution of DLX-Orchestrated Transcriptional Circuits Driving Development of Forebrain GABAergic Neurons

rGREAT: an R/bioconductor package for functional enrichment on genomic regions

Dynamics of broad H3K4me3 domains uncover an epigenetic switch between cell identity and cancer-related genes

Short tandem repeats are important contributors to silencer elements in T cells

Dynamics of transcriptional programs and chromatin accessibility in mouse spermatogonial cells from early postnatal to adult life

“Integration of multimodal data in the developing tooth reveals candidate dental disease genes”


Readers for the data from the International Soil Moisture Network


Process consensus file for COG-UK data

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool

The impact of viral mutations on recognition by SARS-CoV-2 specific T cells

Gotree/Goalign: toolkit and Go API to facilitate the development of phylogenetic workflows

Rapid feedback on hospital onset SARS-CoV-2 infections combining epidemiological and sequencing data

MAJORA: Continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance

Altered subgenomic RNA abundance provides unique insight into SARS-CoV-2 B.1.1.7/Alpha variant infections

Publisher Correction: Genomic epidemiology reveals multiple introductions of SARS-CoV-2 from mainland Europe into Scotland


The Agile Numerical Galaxy Organisation System

The formation of ultradiffuse galaxies in the RomulusC galaxy cluster simulation

The formation of isolated ultradiffuse galaxies in romulus25

TANGOS: The Agile Numerical Galaxy Organization System

The Astrophysical Journal Supplement Series

The Role of Mass and Environment on Satellite Distributions around Milky Way Analogs in the Romulus25 Simulation


The code of the Open Source Spatial Electrification Tool (OnSSET)


The National Renewable Energy Laboratory Wind Analysis Libray (NRWAL)


An AI to compete live in Ghana’s National Science and Maths Quiz competition

Can an AI Win Ghana's National Science and Maths Quiz? An AI Grand Challenge for Education

Towards an AI to Win Ghana's National Science and Maths Quiz

Brilla AI: AI Contestant for the National Science and Maths Quiz


Edudata: Datasets in Education and convenient interface for downloading and preprocessing dataset in education

A Survey of Knowledge Tracing: Models, Variants, and Applications

Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Survey of Computerized Adaptive Testing: A Machine Learning Perspective

Attentive Q-Matrix Learning for Knowledge Tracing

EduNLP: Towards a Unified and Modularized Library for Educational Resources


MATLAB application for fNIRS data processing and visualization

Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis

A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles

Human-in-the-Loop Optimization of Transcranial Electrical Stimulation at the Point of Care: A Computational Perspective

Directed information flow during laparoscopic surgical skill acquisition dissociated skill level and medical simulation technology

Use-Dependent Prosthesis Training Strengthens Contralateral Hemodynamic Brain Responses in a Young Adult With Upper Limb Reduction Deficiency: A Case Report

Brain-behavior analysis of transcranial direct current stimulation effects on a complex surgical motor task


This is the home of Geo Open Accessibility Tool (GOAT)

Population Disaggregation on the Building Level Based on Outdated Census Data

ISPRS International Journal of Geo-Information


[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

Discrete Diffusion Language Modeling by Estimating the Ratios of the Data Distribution

Simple and Effective Masked Diffusion Language Models

Unified Discrete Diffusion for Categorical Data

Amortizing intractable inference in diffusion models for vision,
  language, and control

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language
  Models


Neural Relation Understanding: neural cardinality estimators for tabular data

MADE: Masked Autoencoder for Distribution Estimation

Deep Unsupervised Cardinality Estimation

Are We Ready For Learned Cardinality Estimation?

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Conditional Generative Model Based Predicate-Aware Query Approximation

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

ReStore -- Neural Data Completion for Relational Databases


"Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)

Unsupervised Representation Learning by Predicting Image Rotations

AutoNovel: Automatically Discovering and Learning Novel Visual Categories

IEEE transactions on pattern analysis and machine intelligence


Hooks for VCOCO

Visual Semantic Role Labeling

Detecting Visual Relationships Using Box Attention

Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning

Classifying All Interacting Pairs in a Single Shot


X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data

Isprs Journal of Photogrammetry and Remote Sensing

Correlational Neural Networks

Common Representation Learning Using Step-based Correlation Multi-Modal CNN


Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery

Differentiable Bayesian Structure Learning with Acyclicity Assurance


Simple R package for ETCCDI/CRD climate change indices calculations

Analysis of extreme rainfall in Oti River Basin (West Africa)

Analysis of Spatiotemporal Variability in Extreme Climate and Potential Driving Factors on the Yunnan Plateau (Southwest China) during 1960–2019

Population Exposure Changes to Mean and Extreme Climate Events Over Pakistan and Associated Mechanisms

A Tri-Approach for Diagnosing Gridded Precipitation Datasets for Watershed Glacio-Hydrological Simulation in Mountain Regions

A Comparative Analysis of Changes in Temperature and Precipitation Extremes since 1960 between China and Greece

Characterization of the variability in climate extremes in the Ferkessédougou sugar complexes (Northern Côte d'Ivoire)

Proceedings of the International Association of Hydrological Sciences


Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained explicitly on interpolations to promote convexity and better latent interpolations.

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Autoencoding beyond pixels using a learned similarity metric

BEGAN: Boundary Equilibrium Generative Adversarial Networks

Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions


EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.

A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality

A general representation of dynamical systems for reservoir computing


Simple convertor from bam to FASTQ

Potential prognostic impact of EBV RNA‐seq reads in gastric cancer: a reanalysis of The Cancer Genome Atlas cohort

Chromosome-scale genome assembly of bread wheat’s wild relative Triticum timopheevii

Near-chromosomal-level genome of the red palm weevil (Rhynchophorus ferrugineus), a potential resource for genome-based pest control

Chromosome-scale Genome Assembly of the Rough Periwinkle Littorina saxatilis


Corpus of Russian news articles collected from Lenta.Ru

Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

Advances of Transformer-Based Models for News Headline Generation

Read and Reason with MuSeRC and RuCoS: Datasets for Machine Reading Comprehension for Russian

International Conference on Computational Linguistics

Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines

HeadlineCause: A Dataset of News Headlines for Detecting Causalities

Sentence Embeddings for Russian NLU

Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures


PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"

OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free
  Class-Incremental Learning


A Corpus for Research on Robust Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications

How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications

Automatic Speech Recognition Benchmark for Air-Traffic Communications

Bertraffic: Bert-Based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications

ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications

A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers

Lessons Learned in Transcribing 5000 h of Air Traffic Control Communications for Robust Automatic Speech Understanding

Speech and Natural Language Processing Technologies for Pseudo-Pilot Simulator

Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding


olaFlow CFD Suite is a free and open source project committed to bringing the latest advances for the simulation of wave dynamics to the OpenFOAM® and FOAM-extend communities.

Validation of RANS Modelling for Wave Interactions with Sea Dikes on Shallow Foreshores Using a Large-Scale Experimental Dataset

Journal of Marine Science and Engineering

Characteristics of Accelerations and Pressure Gradient during Run-Down of Solitary Wave over Very Steep Beach: A Case Study

Evolution of Velocity Field and Vortex Structure during Run-Down of Solitary Wave over Very Steep Beach

Variation Characteristics of Irregular Wave Fields around 2-Dimensional Low-Crested-Breakwater

Journal of Korean Society of Coastal and Ocean Engineers

Variation Characteristics of Irregular Wave Fields around 3-Dimensional Low-Crested-Breakwater


Conditional Object-Centric Learning from Video

SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Bridging the Gap to Real-World Object-Centric Learning

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities

Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns

Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints


Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Graph-based Semi-supervised Learning: A Comprehensive Review

Generalizing Graph Neural Networks Beyond Homophily.

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Dimensional Reweighting Graph Convolutional Networks


Sanity check Variant Call Format (VCF) files.

Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders

The eMERGE genotype set of 83,717 subjects imputed to ~40 million variants genome wide and association with the herpes zoster medical record phenotype

Variable Effects of PD-Risk Associated SNPs and Variants in Parkinsonism-Associated Genes on Disease Phenotype in a Community-Based Cohort


A Small RISC-V Virtual Machine


Source code and study data for the TOG 2021 paper: Mid-Air Drawing of Curves on 3D Surfaces in Virtual Reality.

Generative Adversarial Networks for Face Generation: A Survey

Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation

Productivity, Portability, Performance: Data-Centric Python

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

Explanation-Guided Fairness Testing through Genetic Algorithm

Proceedings of the 44th International Conference on Software Engineering

The Impact of Dormant Defects on Defect Prediction: a Study of 19 ApacheProjects

Zenodo (CERN European Organization for Nuclear Research)

Preventing Discriminatory Decision-making in Evolving Data Streams

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks

MiDaS: Representative Sampling from Real-world Hypergraphs

Proceedings of the ACM Web Conference 2022

SolType: refinement types for arithmetic overflow in solidity


This repository contains a script that can be used to facilitate the data workflow for soft-linking of global IAMs and global power system models.

The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview

The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100

Global environmental change : human and policy dimensions

Long-term economic growth projections in the Shared Socioeconomic Pathways

Global urbanization projections for the Shared Socioeconomic Pathways

Future growth patterns of world regions – A GDP scenario approach

Income projections for climate change research: A framework based on human capital dynamics

Power transmission and distribution losses – A model based on available empirical data and future trends for all countries globally

International Journal of Electrical Power & Energy Systems

Long term load projection in high resolution for all countries globally

Building and Calibrating a Country-Level Detailed Global Electricity Model Based on Public Data

Assessing global climate change mitigation scenarios from a power system perspective using a novel multi-model framework


Solves the GMMNLSE in MATLAB for pulse propagation in multimode fiber, with an efficient GPU implementation

Multimode Nonlinear Fiber Optics: Massively Parallel Numerical Solver, Tutorial, and Outlook

IEEE Journal of Selected Topics in Quantum Electronics

Spatiotemporal Mode-Locking in Lasers with Large Modal Dispersion

Wavelength-tunable mode-locked Yb-doped fiber laser based on nonlinear Kerr beam clean-up effect

Parallelization of the Generalized Multimode Nonlinear Schrödinger Equation Solver: A Performance Analysis

Communications in computer and information science


Non-distributional linguistic word vector representations.

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Non-distributional Word Vector Representations

Semantic Data Set Construction from Human Clustering and Spatial Arrangement

International Conference on Computational Logic


Development version of Easyfig

Microbial Characteristics and Genomic Analysis of an ST11 Carbapenem-Resistant Klebsiella pneumoniae Strain Carrying blaKPC−2 Conjugative Drug-Resistant Plasmid

Emergence of a Carbapenem-Resistant Klebsiella pneumoniae Isolate Co-harbouring Dual blaNDM– 6-Carrying Plasmids in China

Interaction of multidrug-resistant hypervirulent Klebsiella pneumoniae with components of human innate host defense

Genomic and Phenotypic Analysis of Salmonella enterica Bacteriophages Identifies Two Novel Phage Species

GenoFig: a user-friendly application for the visualization and comparison of genomic regions

Molecular characterization of hybrid virulence plasmids in ST11-KL64 KPC-2-producing multidrug-resistant hypervirulent Klebsiella pneumoniae from China


Knowledge Distillation Toolkit

Distilling the Knowledge in a Neural Network

Deep Mutual Learning

Relational Knowledge Distillation

KD-Lib: A PyTorch library for Knowledge Distillation, Pruning and Quantization


Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)

Learning End-to-End Goal-Oriented Dialog

Personalization in Goal-Oriented Dialog

Coffee With a Hint of Data: Towards Using Data-Driven Approaches in Personalised Long-Term Interactions

A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots


Matlab and Python libraries for an unsupervised method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.

Vocal Tract Length Perturbation for Text-Dependent Speaker Verification With Autoregressive Prediction Coding

On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification

Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative
  Training for Unsupervised ASR


[ICCV-2021] TransReID: Transformer-based Object Re-Identification

Person Re-Identification

A Challenging Benchmark of Anime Style Recognition

V2ReID: Vision-Outlooker-Based Vehicle Re-Identification


Repository of the ICML 2020 paper "Set Functions for Time Series"

Set Functions for Time Series

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.


[ICLR 2019] Learning Factorized Multimodal Representations

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning


Improving Black-box Adversarial Attacks with a Transfer-based Prior

Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior


MinION Analysis and Reference Consortium: Phase 2 data release and analysis of R9.0 chemistry

Long-read DNA sequencing fully characterized chromothripsis in a patient with Langer–Giedion syndrome and Cornelia de Lange syndrome-4

Nanopore direct RNA sequencing detects DUX4-activated repeats and isoforms in human muscle cells

Biallelic structural variations within FGF12 detected by long-read sequencing in epilepsy

Repeat Detector: versatile sizing of expanded tandem repeats and identification of interrupted alleles from targeted DNA sequencing


Python Package for Modelling Dust Evolution in Protoplanetary Disks.

DustPy: A Python Package for Dust Evolution in Protoplanetary Disks

Large gaps and high accretion rates in photoevaporative transition disks with a dead zone

The impact of dynamic pressure bumps on the observational properties of protoplanetary disks

First steps of planet formation around very low mass stars and brown dwarfs

The bouncing barrier revisited: Impact on key planet formation processes and observational signatures

The impact of dust evolution on the dead zone outer edge in magnetized protoplanetary disks


A fast and great parser

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation

International Conference on Information and Knowledge Management

Shift-Reduce Constituent Parsing with Neural Lookahead Features

Head-Lexicalized Bidirectional Tree LSTMs

Transactions of the Association for Computational Linguistics

Bidirectional Tree-Structured LSTM with Head Lexicalization

Two Local Models for Neural Constituent Parsing


Submission for MAVEN: Multi-Agent Variational Exploration

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning

MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure


[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments

COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments

HUNTER: AI based holistic resource management for sustainable cloud computing

MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems

GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments


A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis

Empirical Methods in Natural Language Processing

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble

North American Chapter of the Association for Computational Linguistics

Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Complementary Learning of Aspect Terms for Aspect-based Sentiment Analysis

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?

Comparative Analysis of Deep Natural Networks and Large Language Models for Aspect-Based Sentiment Analysis

On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis

Machine Learning and Knowledge Discovery in Databases


COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images

Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques

ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19

Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network

Recent Progress in Transformer-based Medical Image Analysis

FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information

Detecting Coronavirus from Chest X-rays Using Transfer Learning

Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges


Bidirectional Attention Flow for Machine Comprehension

Latent Predictor Networks for Code Generation

Adversarial Domain Adaptation for Machine Reading Comprehension

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension

Neural Question Generation with Answer Pivot

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


PyTorch Implementation of Adversarial Training for Free!

Adversarial Training for Free!

Fast is better than free: Revisiting adversarial training

Boosting Adversarial Training with Hypersphere Embedding

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

Amata: An Annealing Mechanism for Adversarial Training Acceleration

Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture

Dynamic Efficient Adversarial Training Guided by Gradient Magnitude


TVsub: DCU-Tencent Chinese-English Dialogue Corpus

Learning to Remember Translation History with a Continuous Cache

Translating Pro-Drop Languages with Reconstruction Models

Autocorrect in the Process of Translation -- Multi-task Learning Improves Dialogue Machine Translation

Corpora for Document-Level Neural Machine Translation

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Recent Advances in Dialogue Machine Translation

GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

A Survey on Zero Pronoun Translation


Learning Gender-Neutral Word Embeddings

Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

Learning Gender-Neutral Word Embeddings

Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques

Gender-preserving Debiasing for Pre-trained Word Embeddings

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation

Gender Bias in Masked Language Models for Multiple Languages

Dictionary-based Debiasing of Pre-trained Word Embeddings

Conceptor Debiasing of Word Representations Evaluated on WEAT

Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks

Automatically Identifying Gender Issues in Machine Translation using Perturbations


Bridging Anaphora Resolution as Question Answering

Fine-grained Information Status Classification Using Discourse Context-Aware BERT

End-to-end Neural Information Status Classification


Analogical inference for knowledge graph completion

Analogical Inference for Multi-Relational Embeddings

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Improving Knowledge Graph Embedding Using Simple Constraints

On Evaluating Embedding Models for Knowledge Base Completion

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods


A fuzzy Bruijn graph approach to long noisy reads assembly

A high-quality genome assembly highlights rye genomic characteristics and agronomically important genes

Musa balbisiana genome reveals subgenome evolution and functional divergence

The origin, diversification and adaptation of a major mangrove clade (Rhizophoreae) revealed by whole-genome sequencing.

Comprehensive evaluation of non-hybrid genome assembly tools for third-generation PacBio long-read sequence data

Chromosome-scale genome assembly of kiwifruit Actinidia eriantha with single-molecule sequencing and chromatin interaction mapping

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

The hard clam genome reveals massive expansion and diversification of inhibitors of apoptosis in Bivalvia

A chromosome-level draft genome of the grain aphid Sitobion miscanthi

De novo assembly of a new Olea europaea genome accession using nanopore sequencing

High-quality genome assembly of 'Cuiguan' pear (Pyrus pyrifolia) as a reference genome for identifying regulatory genes and epigenetic modifications responsible for bud dormancy


Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.

Deep Learning on Graphs: A Survey

Semi-supervised Learning on Graphs with Generative Adversarial Nets


Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing

Conference on Computational Natural Language Learning

From POS tagging to dependency parsing for biomedical event extraction


Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network

Rotated Binary Neural Network

RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

SiMaN: Sign-to-Magnitude Network Binarization


Tutorial on using popular tools for learning about population history

Genomic Approaches Reveal an Endemic Subpopulation of Gray Wolves in Southern China

Conservation Significance of the Rare and Endangered Tree Species, Trigonobalanus doichangensis (Fagaceae)

Genome-Wide SNP Discovery and Population Genetic Analysis of Mesocentrotus nudus in China Seas


Coding-Non-Coding Index (CNCI)

Non-coding RNAs and Their Roles in Stress Response in Plants

基因组蛋白质组与生物信息学报

Long Non-coding RNA ECRAR Triggers Post-natal Myocardial Regeneration by Activating ERK1/2 Signaling

Molecular therapy : the journal of the American Society of Gene Therapy

Identification and characterization of long intergenic noncoding RNAs in bovine mammary glands

A Review on Recent Computational Methods for Predicting Noncoding RNAs

Long Non-Coding RNAs, the Dark Matter: An Emerging Regulatory Component in Plants

International journal of molecular sciences

Prediction of Long Non-Coding RNAs Based on Deep Learning

Preliminary RNA-Seq Analysis of Long Non-Coding RNAs Expressed in Human Term Placenta

Integrative analysis of genome‐wide lncRNA and mRNA expression in newly synthesized Brassica hexaploids

Unraveling long non-coding RNAs through analysis of high-throughput RNA-sequencing data

Transcriptome sequencing in a 6-hydroxydopamine rat model of Parkinson's disease.


Dependent Session Types

Session Types in a Linearly Typed Multi-Threaded Lambda-Calculus

Linearly Typed Dyadic Group Sessions for Building Multiparty Sessions


Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction


Cycles agroecosystem model

Maladaptation in cereal crop landraces following a soot-producing climate catastrophe


MOODS: Motif Occurrence Detection Suite

Beyond accessibility: ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activation

Non-coding germline GATA3 variants alter chromatin topology and contribute to pathogenesis of acute lymphoblastic leukemia


Scalable Global Optimization via Local Bayesian Optimization

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance

Bayesian Optimization with a Prior for the Optimum

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

Cautious Bayesian Optimization for Efficient and Scalable Policy Search

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization

AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient


PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning

Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning

Variational Policy Propagation for Multi-agent Reinforcement Learning


State of the art Semantic Sentence Embeddings

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Semantic Re-tuning with Contrastive Tension

International Conference on Learning Representations

EASE: Entity-Aware Contrastive Learning of Sentence Embedding

How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Sentence Embeddings by Ensemble Distillation


Confidence sequences and uniform boundaries

Estimating means of bounded random variables by betting

Game-theoretic statistics and safe anytime-valid inference

Sequential estimation of quantiles with applications to A/B testing and best-arm identification

Confidence sequences for sampling without replacement

Comparing Sequential Forecasters

Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs


ASAP : Automated Single-cell Analysis Pipeline

ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data

ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses

Deep Learning in Single-Cell Analysis

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics

Criteria for the Evaluation of Workflow Management Systems for Scientific Data Analysis

Journal of Bioinformatics and Systems Biology


YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension

YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos

Language Guided Networks for Cross-modal Moment Retrieval

Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding


Creating super-parallel corpora of more than 1500+ unique languages for NLP research

Taxi1500: A Multilingual Dataset for Text Classification in 1500 Languages

A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction

Meeting of the Association for Computational Linguistics

GlotLID: Language Identification for Low-Resource Languages


A standalone release of DeepMind Lab's maze generator with Python bindings.

DeepMind Lab

Learning Graph Structure With A Finite-State Automaton Layer

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results


A large-scale multilingual dataset for Information Retrieval. Thorough human-annotations across 18 diverse languages.

Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages

Overview of the TREC 2022 NeuCLIR Track

Synthetic Cross-language Information Retrieval Training Data


Easy-to-Use Speech MOS predictors

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model

HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

Single-Codec: Single-Codebook Speech Codec towards High-Performance
  Speech Generation

FlashSpeech: Efficient Zero-Shot Speech Synthesis

Llama-VITS: Enhancing TTS Synthesis with Semantic Awareness

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model

MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement

LLaMA-Omni: Seamless Speech Interaction with Large Language Models


Addressing Failure Prediction by Learning Model Confidence

A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification

Learning to Predict Trustworthiness with Steep Slope Loss

Robust Deep Learning for Autonomous Driving

On Deep Neural Network Calibration by Regularization and its Impact on Refinement


The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reachable Polyhedral Marching (RPM): A Safety Verification Algorithm for Robotic Systems with Deep Neural Network Components

Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems


R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds


Formerly for binary classification with noisy labels. Replaced by cleanlab.

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

A Variational Approach for Learning from Positive and Unlabeled Data

Learning Classifiers on Positive and Unlabeled Data with Policy Gradient

Data quality dimensions for fair AI

Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning


Compute graph embeddings via Anonymous Walk Embeddings

Anonymous Walk Embeddings

State of the Art and Potentialities of Graph-level Learning

Learning distributed representations of graphs with Geo2DR


Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and clay) and classes (taxonomic great group and particle size in the control section) for the Conterminous U.S.

Soil Property and Class Maps of the Conterminous United States at 100-Meter Spatial Resolution


[NeurlPS D&B 2024] Generative AI for Math: MathPile

Generative AI for Math: Part I -- MathPile: A Billion-Token-Scale Pretraining Corpus for Math

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

Task Oriented In-Domain Data Augmentation

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts


Super-resolution chromatin tracing 2018

Loop-extrusion and polymer phase-separation can co-exist at the single-molecule level to shape chromatin folding

Subgraph extraction and graph representation learning for single cell Hi-C imputation and clustering


TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.

TEACh: Task-driven Embodied Agents that Chat

Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue

Learning by Asking for Embodied Visual Navigation and Task Completion


a "minimal buy-in" FITS library and utility package for astronomical data analysis

The HIX galaxy survey I: Study of the most gas rich galaxies from HIPASS

Monthly Notices of the Royal Astronomical Society

X-Ray Variability from the Ultraluminous Black Hole Candidate X-Ray Binary in the Globular Cluster RZ 2109

A Multi-band Study of the Remarkable Jet in Quasar 4C+19.44

Centaurus A: constraints on the nature of the giant lobe filaments from XMM-Newton observations

Optical and X-ray Follow-Up to a Globular Cluster Ultraluminous X-ray Source in NGC 4472


ReACT public repo

KiDS-1000 Cosmology: Constraints beyond flat ΛCDM

On the road to per cent accuracy IV: ReACT – computing the non-linear power spectrum beyond ΛCDM

FORGE -- the f(R) gravity cosmic emulator project I: Introduction and matter power spectrum emulator

On the road to per cent accuracy - V. The non-linear power spectrum beyond Lambda CDM with massive neutrinos and baryonic feedback

Euclid: Modelling massive neutrinos in cosmology – a code comparison

Journal of Cosmology and Astroparticle Physics

DEMNUni: comparing nonlinear power spectra prescriptions in the presence of massive neutrinos and dynamical dark energy

mglens: Modified gravity weak lensing simulations for emulation-based cosmological inference


Tools for improving the sensitivity and specificity of genome alignments

Computational methods to detect conserved non-genic elements in phylogenetically isolated genomes: application to zebrafish

Increased alignment sensitivity improves the usage of genome alignments for comparative gene annotation

RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements


Interpretable Neural Predictions with Differentiable Binary Variables

The Explanation Game: Towards Prediction Explainability through Sparse Communication

Understanding Interlocking Dynamics of Cooperative Rationalization

Rationalizing predictions by adversarial information calibration


Haplotype phasing software

Comparative genetic architectures of schizophrenia in East Asian and European populations

Accurate, scalable and integrative haplotype estimation

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into the complex genetic architecture

Integrative haplotype estimation with sub-linear complexity

Single-Cell Dissection of the Immune Response After Acute Myocardial Infarction


Collection of tools  for the analysis of CpG data

Direct haplotype-resolved 5-base HiFi sequencing for genome-wide profiling of hypermethylation outliers in a rare disease cohort

High Coverage Highly Accurate Long-Read Sequencing of a Mouse Neuronal Cell Line Using the PacBio Revio Sequencer

bioRxiv : the preprint server for biology

Synchronized long-read genome, methylome, epigenome, and transcriptome for resolving a Mendelian condition

A haplotype-resolved view of human gene regulation

Direct transposition of native DNA for sensitive multimodal single-molecule sequencing


PSP-UFU (Power Systems Platform of Federal University of Uberlândia) is a cross-platform, multilingual, Free and Open-Source Software with advanced GUI features and CAD tools for electrical power system studies.


Pulsar-timing array analysis code

European Pulsar Timing Array limits on an isotropic stochastic gravitational-wave background

The NANOGrav 11 Year Data Set: Pulsar-timing Constraints on the Stochastic Gravitational-wave Background

Constraints on the Dynamical Environments of Supermassive Black-Hole Binaries Using Pulsar-Timing Arrays

Improving timing sensitivity in the microhertz frequency regime: limits from PSR J1713+0747 on gravitational waves produced by supermassive black hole binaries


Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

A Finnish News Corpus for Named Entity Recognition

Zero-Resource Cross-Lingual Named Entity Recognition

LINSPECTOR: Multilingual Probing Tasks for Word Representations

Projecting named entity recognizers without annotated or parallel corpora

Nordic Conference of Computational Linguistics


Library for translating between 200 languages. Built on  transformers.

No Language Left Behind: Scaling Human-Centered Machine Translation

Beyond English-Centric Multilingual Machine Translation

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

ANLP-RG at NADI 2023 shared task: Machine Translation of Arabic Dialects: A Comparative Study of Transformer Models


Prospective environmental and economic life cycle assessment of vehicles made blazing fast.


Quartet Sampling method for phylogenetic branch support evaluation

Phylotranscriptomics unveil a Paleoproterozoic-Mesoproterozoic origin and deep relationships of the Viridiplantae

Quartet Sampling distinguishes lack of support from conflicting support in the plant tree of life

Relationships and genome evolution of polyploid Salix species revealed by RAD sequencing data


Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""

How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework


Preferential Subspace Identification Algorithm

Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification (PSID)

Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior


Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design

CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders

StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation

StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis


An implementation of Concrete Autoencoders

Concrete Autoencoders for Differentiable Feature Selection and Reconstruction

Differentiable Unsupervised Feature Selection based on a Gated Laplacian

Deep Unsupervised Feature Selection by Discarding Nuisance and Correlated Features

Composite Feature Selection using Deep Ensembles

Where to Pay Attention in Sparse Training for Feature Selection?

Copula for Instance-wise Feature Selection and Ranking


Dynamic Robot Instruction Following

Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction

Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction

Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight

Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning

Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following


STM32 Energy Monitoring


Time series competition data

Forecasting: theory and practice

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

The future of forecasting competitions: Design attributes and principles


[CVPR2022 oral] A Simple and Effective Baseline for Text-to-Image Synthesis

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis

GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks


The implementation of text classification using character level convoultion neural networks using Keras

Character-level Convolutional Networks for Text Classification

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Character-Aware Neural Language Models

Robustness to Programmable String Transformations via Augmented Abstract Training

Clustering High-dimensional Data via Feature Selection


Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

How To Backdoor Federated Learning

Multi-Task Learning as Multi-Objective Optimization

Blind Backdoors in Deep Learning Models


Python implementation of the Global Sky Model (GSM) for the radio sky between 10 MHz - 5 THz

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

Measuring the global 21-cm signal with the MWA-I: improved measurements of the Galactic synchrotron background using lunar occultation

Monthly notices of the Royal Astronomical Society

Characterization of the SKA1-Low prototype station Aperture Array Verification System 2

Detecting the power spectrum turnover with H i intensity mapping

Quantifying EoR delay spectrum contamination from diffuse radio emission

A Semiblind PCA-based Foreground Subtraction Method for 21 cm Intensity Mapping

A Clustered Extragalactic Foreground Model for the EoR

Proceedings of the International Astronomical Union

Discoveries and timing of pulsars in M62

All-sky modelling requirements for Bayesian 21 cm power spectrum estimation with bayeseor

Velocity Acoustic Oscillations on Cosmic Dawn 21 cm Power Spectrum as a Probe of Small-scale Density Fluctuations


Probabilistic Association of Transients to their Hosts (PATH)

A Measurement of Circumgalactic Gas around Nearby Galaxies Using Fast Radio Bursts

A Fast Radio Burst in a Compact Galaxy Group at z 1


Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction

International Conference on Computational Linguistics


Set of commonly used functions in photovoltaics


A Causal-Consistent Reversible Debugger for Erlang

A Theory of Reversibility for Erlang

Causal-Consistent Reversible Debugging: Improving CauDEr

Practical Aspects of Declarative Languages

Reversing an imperative concurrent programming language

revTPL: The Reversible Temporal Process Language

A Lightweight Approach to Computing Message Races with an Application to Causal-Consistent Reversible Debugging

A Program Instrumentation for Prefix-Based Tracing in Message-Passing Concurrency.

Computing Race Variants in Message-Passing Concurrent Programming with Selective Receives


Various customs functions written to enhance the base functions of phyloseq. Most of them are used in the formation "Métagénomique 16S" provided by the platforms Migale and Genotoul

ranacapa: An R package and Shiny web app to explore environmental DNA data with exploratory statistics and interactive visualizations

Effects of Intra- and Interspecific Plant Density on Rhizosphere Bacterial Communities

Cast iron drinking water pipe biofilms support diverse microbial communities containing antibiotic resistance genes, metal resistance genes, and class 1 integrons

Environmental Science: Water Research & Technology

Soil Fungal Communities Investigated by Metabarcoding Within Simulated Forensic Burial Contexts


Work for the tree sequence inference paper.

Inferring whole-genome histories in large population datasets

Biobank-scale inference of ancestral recombination graphs enables genealogical analysis of complex traits

Inferring the ancestry of everyone


A custom Monte Carlo sampler for the (gravitational) two-body problem

Close Binary Companions to APOGEE DR16 Stars: 20,000 Binary-star Systems Across the Color-Magnitude Diagram

The MAVERIC Survey: A Red Straggler Binary with an Invisible Companion in the Galactic Globular Cluster M10

The nearest neutron star candidate in a binary revealed by optical time-domain surveys

中国科学. 物理学 力学 天文学

A White Dwarf–Main-sequence Binary Unveiled by Time-domain Observations from LAMOST and TESS


GPU accelerated 3D image deconvolution using CUDA

Synthetic Par polarity induces cytoskeleton asymmetry in unpolarized mammalian cells

A fine kinetic balance of interactions directs transcription factor hubs to genes


A package for clustering of Signed Networks

SPONGE: A generalized eigenproblem for clustering signed networks

SSSNET: Semi-Supervised Signed Network Clustering

Advances in scaling community discovery methods for signed graph networks

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs


Repository for the XMSS reference code, accompanying RFC 8391, XMSS: eXtended Merkle Signature Scheme

LMS vs XMSS: Comparison of Stateful Hash-Based Signature Schemes on ARM Cortex-M4

Rapidly Verifiable XMSS Signatures

IACR Transactions on Cryptographic Hardware and Embedded Systems

Agile Acceleration of Stateful Hash-based Signatures in Hardware

ACM Transactions on Embedded Computing Systems


Python library for fast time-series analysis on CUDA GPUs

An 8.8 Minute Orbital Period Eclipsing Detached Double White Dwarf Binary

Discovery and characterization of five new eclipsing AM CVn systems

Exploring the dependence of hot Jupiter occurrence rates on stellar mass with TESS

The ZTF Source Classification Project. I. Methods and Infrastructure

Magnetic braking saturates: evidence from the orbital period distribution of low-mass detached eclipsing binaries from ZTF

The ZTF Source Classification Project - II. Periodicity and variability processing metrics

A Systematic Search for Short-period Close White Dwarf Binary Candidates Based on Gaia EDR3 Catalog and Zwicky Transient Facility Data

The Astrophysical Journal Supplement Series

GPU-Accelerated Periodic Source Identification in Large-Scale Surveys:
  Measuring P and Ṗ

CoRoT-TESS eclipsing binaries with light-travel-time effect


Framework for the reproducible classification of Alzheimer's disease using machine learning

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

Clinica: an open source software platform for reproducible clinical neuroscience studies

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease

Predicting progression to Alzheimer’s disease from clinical and imaging data: a reproducible study

HAL (Le Centre pour la Communication Scientifique Directe)


Neural Attentional Rating Regression with Review-level Explanations

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

On Sampled Metrics for Item Recommendation

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Neural Personalized Ranking for Image Recommendation

An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes

Pessimistic Reward Models for Off-Policy Learning in Recommendation

“Serving Each User”: Supporting Different Eating Goals Through a Multi-List Recommender Interface

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL


Technologically Assisted Reviews in Empirical Medicine

Measuring the impact of screening automation on meta-analyses of diagnostic test accuracy

A Study on Ranking Fusion Approaches for the Retrieval of Medical Publications

PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning

A question-answering framework for automated abstract screening using large language models

Journal of the American Medical Informatics Association

Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review

From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews


We have moved to https://github.com/limix/limix.

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

LIMIX: genetic analysis of multiple traits

A random forest approach to capture genetic effects in the presence of population structure

Genetic perturbation of PU.1 binding and chromatin looping at neutrophil enhancers associates with autoimmune disease

DNA methylation variation in Arabidopsis has a genetic basis and shows evidence of local adaptation

Gene-level quantitative trait mapping in an expanded C. elegans multiparent experimental evolution panel

Genetic dissection of complex traits using hierarchical biological knowledge

Variation in PU.1 binding and chromatin looping at neutrophil enhancers influences autoimmune disease susceptibility


Top 1 solution of Chexpert

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling

Technical Challenges for Training Fair Neural Networks


Venn Diagram by ggplot2, with really easy-to-use API.

Transposons Hidden in Arabidopsis thaliana Genome Assembly Gaps and Mobilization of Non-Autonomous LTR Retrotransposons Unravelled by Nanotei Pipeline

Phenotypic and Methylome Responses to Salt Stress in Arabidopsis thaliana Natural Accessions

Early and late genome-wide gastric epithelial transcriptome response during infection with the human carcinogen Helicobacterpylori.

miRNA signatures underlie chemoresistance in the gemcitabine-resistant pancreatic ductal adenocarcinoma cell line MIA PaCa-2 GR

Serotype-dependent adhesion of Shiga toxin-producing Escherichia coli to bovine milk fat globule membrane proteins


Fast, integrative fine mapping with functional data

Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity

ABO O blood group as a risk factor for platelet reactivity in heparin-induced thrombocytopenia

3D genome organization links non-coding disease-associated variants to genes

Frontiers in cell and developmental biology

Diverse ancestry whole-genome sequencing association study identifies TBX5 and PTK7 as susceptibility genes for posterior urethral valves

Genome-wide determinants of mortality and motor progression in Parkinson’s disease

Multi-ancestry genetic analysis of gene regulation in coronary arteries prioritizes disease risk loci

A genome-wide association study of bronchodilator response in participants of European and African ancestry from six independent cohorts


This repo contains the code for ACL2020 paper "Coreference Resolution as Query-based Span Prediction"

CorefQA: Coreference Resolution as Query-based Span Prediction

Meeting of the Association for Computational Linguistics

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media


FASURA: A Scheme for Quasi-Static Massive MIMO Unsourced Random Access Channels

On Sparse Regression LDPC Codes

Sparse Regression LDPC Codes


DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Annealing Knowledge Distillation

MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation

Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax

How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding

When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation


A placeholder for all my random scripts.  Some scripts might eventually graduate and go to their own projects, so don't be surprised if anything leaves in the future.

Whole genome sequencing of emerging multidrug resistant Candida auris isolates in India demonstrates low genetic variation

CTX-M-65 Extended-Spectrum β-Lactamase-Producing Salmonella enterica Serotype Infantis, United States1.

Antibiotic Resistance in Shiga Toxigenic Escherichia coli Isolates from Surface Waters and Sediments in a Mixed Use Urban Agricultural Landscape

Characterization of a Nonagglutinating Toxigenic Vibrio cholerae Isolate


docker monitoring experiment


Baseline model for nocaps benchmark, ICCV 2019 paper "nocaps: novel object captioning at scale".

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

International Conference on Computer Vision

Guided Open Vocabulary Image Captioning with Constrained Beam Search

ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning


PyStokes: phoresis and Stokesian hydrodynamics in Python. github.com/rajeshrinet/pystokes

Universal hydrodynamic mechanisms for crystallization in active colloidal suspensions

Generalized Stokes laws for active colloids and their applications

Competing chemical and hydrodynamic interactions in autophoretic colloidal suspensions

Controlled Optofluidic Crystallization of Colloids Tethered at Interfaces

Periodic Orbits of Active Particles Induced by Hydrodynamic Monopoles


[Meta R-package on CRAN] Analyse forest diversity and dynamics


Python package for Sentential Decision Diagrams (SDD)

Three Modern Roles for Logic in AI

Symposium on Principles of Database Systems

Semantic Probabilistic Layers for Neuro-Symbolic Learning

Tractable Explanations for d-DNNF Classifiers

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference

Feature Necessity & Relevancy in ML Classifier Explanations

Efficient Explanations for Knowledge Compilation Languages

Tractable Boolean and Arithmetic Circuits

Semantic Strengthening of Neuro-Symbolic Learning

Efficient Knowledge Compilation Beyond Weighted Model Counting

Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation


SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval

PROD: Progressive Distillation for Dense Retrieval

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers

Allies: Prompting Large Language Model with Beam Search

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion

LEAD: Liberal Feature-based Distillation for Dense Retrieval


Scans genome contigs against the ResFinder, PlasmidFinder, and PointFinder databases.

Identification of acquired antimicrobial resistance genes

The Journal of antimicrobial chemotherapy

In Silico Detection and Typing of Plasmids using PlasmidFinder and Plasmid Multilocus Sequence Typing

Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications

PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens

Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in Salmonella enterica in Canada Using Staramr

Benchmarking hybrid assembly approaches for genomic analyses of bacterial pathogens using Illumina and Oxford Nanopore sequencing

NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy

Zenodo (CERN European Organization for Nuclear Research)

Secrets of the Hospital Underbelly: Patterns of Abundance of Antimicrobial Resistance Genes in Hospital Wastewater Vary by Specific Antimicrobial and Bacterial Family

Benchmarking Long-Read Assemblers for Genomic Analyses of Bacterial Pathogens Using Oxford Nanopore Sequencing

International journal of molecular sciences

Emergence of a Novel Salmonella enterica Serotype Reading Clonal Group Is Linked to Its Expansion in Commercial Turkey Production, Resulting in Unanticipated Human Illness in North America


PRIDE Inspector is a Java desktop application to visualise and Quality Assessment on Mass Spectrometry data and Proteomics

The mzIdentML Data Standard Version 1.2, Supporting Advances in Proteome Informatics

Evaluation of Unconventional Protein Secretion by Saccharomyces cerevisiae and other Fungi

ms-data-core-api: an open-source, metadata-oriented library for computational proteomics


Fit and compare complex models reliably and rapidly. Advanced nested sampling.

The eROSITA Final Equatorial-Depth Survey (eFEDS)

AT 2019avd: a novel addition to the diverse population of nuclear transients

Exploring the likelihood of the 21-cm power spectrum with simulation-based inference

The SRG/eROSITA All-Sky Survey: Cosmology Constraints from Cluster Abundances in the Western Galactic Hemisphere

The relation between accretion rate and jet power in early-type galaxies with thermally unstable hot atmospheres

Learning the composition of ultrahigh energy cosmic rays

The SRG-eROSITA All-Sky Survey : Constraints on f(R) Gravity from
  Cluster Abundance


Tensor Train Toolbox

Tensor Train decomposition on TensorFlow (T3F)

Tensor-based algorithms for image classification

Tensor-based computation of metastable and coherent sets

tgEDMD: Approximation of the Kolmogorov Operator in Tensor Train Format

Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs

Low-rank tensor decompositions of quantum circuits

Extraction of nonlinearity in neural networks with Koopman operator

WaveTrain: A Python Package for Numerical Quantum Mechanics of Chain-Like Systems Based on Tensor Trains


Fast cosmological perturbation theory

Beyond linear galaxy alignments

FAST-PT: a novel algorithm to calculate convolution integrals in cosmological perturbation theory

Journal of Cosmology and Astroparticle Physics

FAST-PT II: an algorithm to calculate convolution integrals of general tensor quantities in cosmological perturbation theory

Hyper Suprime-Cam Year 3 results: Cosmology from cosmic shear two-point correlation functions

Cosmology with 6 parameters in the Stage-IV era: efficient marginalisation over nuisance parameters

Modeling intrinsic galaxy alignment in the MICE simulation

Modified gravity and massive neutrinos: constraints from the full shape analysis of BOSS galaxies and forecasts for Stage IV surveys

An empirical approach to model selection: weak lensing and intrinsic alignments

Galaxy bias in the era of LSST: perturbative bias expansions

Euclid: The search for primordial features


Set of robotic environments based on PyBullet physics engine and gymnasium.

panda-gym: Open-source goal-conditioned environments for robotic learning

Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks

Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robot


UNFINISHED: use this instead: https://github.com/JRCSTU/gearshift_calculation_tool


High-accuracy simulation of light propagation

A convergent Born series for solving the inhomogeneous Helmholtz equation in arbitrarily large media

Ultra-thin boundary layer for high-accuracy simulations of light propagation

Observation of Light-Induced Dipole-Dipole Forces in Ultracold Atomic Gases


The MLST pipeline developed by the PathOGiST research group

MentaLiST – A fast MLST caller for large MLST schemes

International Clones of High Risk of Acinetobacter Baumannii—Definitions, History, Properties and Perspectives

Whole-Genome Analysis of Staphylococcus aureus Isolates from Ready-to-Eat Food in Russia

Plasmid Composition, Antimicrobial Resistance and Virulence Genes Profiles of Ciprofloxacin- and Third-Generation Cephalosporin-Resistant Foodborne Salmonella enterica Isolates from Russia

Genomic Characterization of Clinical Acinetobacter baumannii Isolates Obtained from COVID-19 Patients in Russia


Marine carbonate system calculations in Python

PyCO2SYS v1.8: marine carbonate system calculations in Python

PyCO2SYS: marine carbonate system calculations in Python

Geoscientific Model Development Discussions


Simulation for survey (cadence, strategy) based on Python

Kilonova Luminosity Function Constraints Based on Zwicky Transient Facility Searches for 13 Neutron Star Merger Triggers during O3

Detectability of kilonovae in optical surveys: post-mortem examination of the LVC O3 run follow-up

Monthly Notices of the Royal Astronomical Society

A Data Science Platform to Enable Time-domain Astronomy

Lensed Type Ia supernovae in light of SN Zwicky and iPTF16geu

Inferring Kilonova Population Properties with a Hierarchical Bayesian Framework. I. Nondetection Methodology and Single-event Analyses

Kilonova-Targeting Lightcurve Classification for Wide Field Survey Telescope

Constraints Based on Non-detection of Kilonova Optical Searching


Workflow for Optimal Radiomics Classification

Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI

A Multi-Center, Multi-Vendor Study to Evaluate the Generalizability of a Radiomics Model for Classifying Prostate cancer: High Grade vs. Low Grade

Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach

Differential diagnosis and mutation stratification of desmoid-type fibromatosis on MRI using radiomics.

The WORC* database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies

Reproducible radiomics through automated machine learning validated on twelve clinical applications

The BRAF P.V600E Mutation Status of Melanoma Lung Metastases Cannot Be Discriminated on Computed Tomography by LIDC Criteria nor Radiomics Using Machine Learning

Quality of Multicenter Studies Using MRI Radiomics for Diagnosing Clinically Significant Prostate Cancer: A Systematic Review

Optimization of Preoperative Lymph Node Staging in Patients with Muscle-Invasive Bladder Cancer Using Radiomics on Computed Tomography


CANAlization: Control & Redundancy in Boolean Networks

CANA: A Python Package for Quantifying Control and Canalization in Boolean Networks

Influence maximization in Boolean networks

Effective Connectivity and Bias Entropy Improve Prediction of Dynamical Regime in Automata Networks

Dynamical methods for target control of biological networks

Dynamical Modularity in Automata Models of Biochemical Networks


Solving LPs with convergent message passing

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths

Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach

MAP inference via Block-Coordinate Frank-Wolfe Algorithm

A Comparative Study of Graph Matching Algorithms in Computer Vision

Fusion Moves for Graph Matching

Bottleneck potentials in Markov Random Fields


Datasets derived from US census data

Datasheets for Datasets

Retiring Adult: New Datasets for Fair Machine Learning

A survey on datasets for fairness-aware machine learning

Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts

Conference on Fairness, Accountability and Transparency

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

Fairness Transferability Subject to Bounded Distribution Shift

From Shapley Values to Generalized Additive Models and back

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

Challenges towards the Next Frontier in Privacy


RetinaFace: Deep Face Detection Library for Python

Fast R-CNN

Segment Anything

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild

RetinaFace: Single-stage Dense Face Localisation in the Wild

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions

State of the Art of Quality Assessment of Facial Images


Cut Generator Library

The Cut and Play Algorithm: Computing Nash Equilibria via Outer Approximations.

Preprocessing and cutting planes with conflict graphs

An Abstract Model for Branch-and-Cut

Monoidal strengthening of simple ��-polyhedral disjunctive cuts


Python library for analysis of neuroanatomical data.

FlyWire: Online community for whole-brain connectomics

The natverse, a versatile toolbox for combining and analysing neuroanatomical data

Neuronal wiring diagram of an adult brain

bioRxiv : the preprint server for biology

Information flow, cell types and stereotypy in a full olfactory connectome

Context-dependent representations of movement in Drosophila dopaminergic reinforcement pathways

Multisensory learning binds neurons into a cross-modal memory engram

Multisensory learning binds modality-specific neurons into a cross-modal memory engram

Interactions between specialized gain control mechanisms in olfactory processing


ALLHiC: phasing and scaffolding polyploid genomes based on Hi-C data

Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L.

Genome Assembly of Alfalfa Cultivar Zhongmu-4 and Identification of SNPs Associated with Agronomic Traits

基因组蛋白质组与生物信息学报

Genome assembly of the JD17 soybean provides a new reference genome for comparative genomics

A near-complete genome assembly of the allotetrapolyploid Cenchrus fungigraminus (JUJUNCAO) provides insights into its evolution and C4 photosynthesis

A gap-free reference genome reveals structural variations associated with flowering time in rapeseed (Brassica napus)

A high-resolution genome of an euryhaline and eurythermal rhinogoby (Rhinogobius similis Gill 1895)

Chromosome-level Genome Assembly of the High-altitude Leopard (Panthera pardus) Sheds Light on Its Environmental Adaptation

Chromosome genome assembly and whole genome sequencing of 110 individuals of Conogethes punctiferalis (Guenée)


A high-performance distributed deep learning system targeting large-scale and automated distributed training.

PointCLIP: Point Cloud Understanding by CLIP

HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed Training System

A Survey on Mixture of Experts

Improving Automatic Parallel Training via Balanced Memory Workload Optimization

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference


pyWATTS: Python Workflow Automation Tool for Time-Series

pyWATTS: Python Workflow Automation Tool for Time Series

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks

Concepts for Automated Machine Learning in Smart Grid Applications

ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information

Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks


The Galacticus galaxy formation model

Quantum fluctuations masquerade as haloes: bounds on ultra-light dark matter from quadruply imaged quasars

Symphony: Cosmological Zoom-in Simulation Suites over Four Decades of Host Halo Mass

A Differentiable Model of the Assembly of Individual and Populations of Dark Matter Halos

Tidal Tracks and Artificial Disruption of Cold Dark Matter Halos

A random-walk model for dark matter halo spins

Structure formation and the global 21-cm signal in the presence of Coulomb-like dark matter-baryon interactions

Till the core collapses: the evolution and properties of self-interacting dark matter subhalos

Devouring the Milky Way Satellites: Modeling Dwarf Galaxies with Galacticus

A comprehensive model for the formation and evolution of the faintest Milky Way dwarf satellites

Growing the First Galaxies' Merger Trees


MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++

Advanced Simulation of Quantum Computations

Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams

Tools for Quantum Computing Based on Decision Diagrams

Secure quantum computing for healthcare sector: A short analysis

Simulation Paths for Quantum Circuit Simulation With Decision Diagrams What to Learn From Tensor Networks, and What Not

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Decision Diagrams for Quantum Computing

Efficient Implementation of LIMDDs for Quantum Circuit Simulation


Source for the EnergySparks website


GROBID extension for identifying and normalizing physical quantities.

Automatic Identification and Normalisation of Physical Measurements in Scientific Literature

AutoMATES: Automated Model Assembly from Text, Equations, and Software

Mining experimental data from Materials Science literature with Large Language Models

Extracting Material Property Measurement Data from Scientific Articles

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing