Official Pytorch implementation of the ECCV 2022 paper "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation"

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

4D Contrastive Superflows are Dense 3D Representation Learners


Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)

Rethinking Range View Representation for LiDAR Segmentation

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

An Empirical Study of Training State-of-the-Art LiDAR Segmentation
  Models


Masked Autoregressive Flow

Masked Autoregressive Flow for Density Estimation

Normalizing Flows: An Introduction and Review of Current Methods

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Mining gold from implicit models to improve likelihood-free inference

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

Roundtrip: A Deep Generative Neural Density Estimator

Transformation Autoregressive Networks

Learning deep kernels for exponential family densities

Neural Density Estimation and Likelihood-free Inference

TraDE: Transformers for Density Estimation

Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations


[NeurIPS 2019] This is the code repo of our novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.

[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

DeepIPR: Deep Neural Network Ownership Verification With Passports

IEEE transactions on pattern analysis and machine intelligence

Deep Intellectual Property Protection: A Survey

Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation

Cracking White-box DNN Watermarks via Invariant Neuron Transforms


daily SARS-CoV2 Re Values for select countries. See https://ibz-shiny.ethz.ch/covid-19-re/ for interactive visualisations.

Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa

Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2

SARS-CoV-2 shifting transmission dynamics and hidden reservoirs potentially limit efficacy of public health interventions in Italy

SARS-CoV-2 Genetic Diversity and Lineage Dynamics in Egypt during the First 18 Months of the Pandemic

COVIDHunter: COVID-19 Pandemic Wave Prediction and Mitigation via Seasonality Aware Modeling

COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model


Gene-specific patterns of expression variation across organs and species

Damage-responsive elements in Drosophila regeneration

Evolution of Gene Expression across Species and Specialized Zooids in Siphonophora


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


Learning a mapping from images to psychological similarity spaces with neural networks.

Rethinking the Inception Architecture for Computer Vision

Generalizing Psychological Similarity Spaces to Unseen Stimuli

Mapping Images to Psychological Similarity Spaces Using Neural Networks

Grounding Psychological Shape Space in Convolutional Neural Networks


CHECKED: Chinese COVID-19 fake news dataset

MetaDetector: Meta Event Knowledge Transfer for Fake News Detection

COVID-19 Rumor Detection on Social Networks Based on Content Information and User Response

LTCR: Long-Text Chinese Rumor Detection Dataset


Simulating Hybrid Aerial- and Ground-based Vehicular Networks with ns-3 and LIMoSim

Lightweight joint simulation of vehicular mobility and communication with LIMoSim

LIMoSim: A Lightweight and Integrated Approach for Simulating Vehicular Mobility with OMNeT++


Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

Deep Reinforcement Learning for List-wise Recommendations

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling


Tools to annotate genomes using long read transcriptomics data

Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

Getting the Entire Message: Progress in Isoform Sequencing

Targeted, High-Resolution RNA Sequencing of Non-coding Genomic Regions Associated With Neuropsychiatric Functions

A chromosome-scale genome assembly and karyotype of the ctenophore Hormiphora californensis

Large-Scale Multiplexing Permits Full-Length Transcriptome Annotation of 32 Bovine Tissues From a Single Nanopore Flow Cell

Chromosome-Level Genome Assembly of the Asian Red-Tail Catfish (Hemibagrus wyckioides)

Integrative Analysis of Nanopore and Illumina Sequencing Reveals Alternative Splicing Complexity in Pig Longissimus Dorsi Muscle

A novel transposable element-mediated mechanism causes antiviral resistance in Drosophila through truncating the Veneno protein

Red and Blue Light Affect the Formation of Adventitious Roots of Tea Cuttings (Camellia sinensis) by Regulating Hormone Synthesis and Signal Transduction Pathways of Mature Leaves

Novel and Annotated Long Noncoding RNAs Associated with Ischemia in the Human Heart

International journal of molecular sciences


Universal Physical Camouflage Attacks on Object Detectors

ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook


Wrapper for short and long read mapping, creation of quality report(s) and estimation of genome size

BEDTools: a flexible suite of utilities for comparing genomic features

Minimap2: pairwise alignment for nucleotide sequences

MultiQC: summarize analysis results for multiple tools and samples in a single report

Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data

An Annotated Draft Genome for Radix auricularia (Gastropoda, Mollusca)

Hybridization dynamics and extensive introgression in the Daphnia longispina species complex: new insights from a high-quality Daphnia galeata reference genome

De novo genome assembly of the land snail Candidula unifasciata (Mollusca: Gastropoda)

Whole-genome re-sequencing data to infer historical demography and speciation processes in land snails: the study of two Candidula sister species

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

LocoGSE, a sequence-based genome size estimator for plants


A large dataset of 4.2m Java source code and parallel data of their description from code search, and code summarization studies.

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

A Transformer-based Approach for Source Code Summarization

Unsupervised Translation of Programming Languages

CoDesc: A Large Code-Description Parallel Dataset


Liveness detection SDK  Android - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

Face Flashing: a Secure Liveness Detection Protocol based on Light Reflections

Face Liveness Detection Based on Client Identity Using Siamese Network

Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results

Deep Learning meets Liveness Detection: Recent Advancements and Challenges

An Ensemble Model for Face Liveness Detection

AdvFAS: A robust face anti-spoofing framework against adversarial examples


Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Pareto Smoothed Importance Sampling

On the Application of Bayesian Leave-one-out Cross-validation to Exoplanet Atmospheric Analysis

Robust leave-one-out cross-validation for high-dimensional Bayesian models


Tensorflow2 reimplementation of image generation model (GAN, Style Transfer, Image to Image Translation, etc)

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Conditional Generative Adversarial Nets

Improved Training of Wasserstein GANs

Wasserstein GAN

A Neural Algorithm of Artistic Style


MobileNetV2: Inverted Residuals and Linear Bottlenecks

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information


Cell tracking using TensorFlow and BayesianTracker

Automated Deep Lineage Tree Analysis Using a Bayesian Single Cell Tracking Approach

Local cellular neighborhood controls proliferation in cell competition

Single-cell approaches to cell competition: high-throughput imaging, machine learning and simulations


Python package for graph-based clustering and semi-supervised learning

Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates

Weighted Nonlocal Laplacian on Interpolation from Sparse Data

Simplified Energy Landscape for Modularity Using Total Variation

Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth

A Fast MBO Scheme for Multiclass Data Classification

Scale Space and Variational Methods in Computer Vision

An Incremental Reseeding Strategy for Clustering

Digital Fingerprinting of Microstructures


(a) (p)erfect (c)ircle? ... tests DNA sequences for overlapping ends, then trims and rejoins, and aligns reads to test the join

Whole genome sequencing of Borrelia miyamotoi isolate Izh-4: reference for a complex bacterial genome

Temperate Bacteriophages from Chronic Pseudomonas aeruginosa Lung Infections Show Disease-Specific Changes in Host Range and Modulate Antimicrobial Susceptibility

Whole-Genome Sequences of Five Acinetobacter baumannii Strains From a Child With Leukemia M2

Prevalence of Shigella boydii in Bangladesh: Isolation and Characterization of a Rare Phage MK-13 That Can Robustly Identify Shigellosis Caused by Shigella boydii Type 1

Complete Genome Sequence of a Multidrug-Resistant Acinetobacter baumannii Isolate Obtained from a Mexican Hospital (Sequence Type 422)

Complete Genome Sequence of a blaOXA-58-Producing Acinetobacter baumannii Strain Isolated from a Mexican Hospital

Genome Sequence of Enterotoxigenic Escherichia coli Strain FMU073332

Potential of an Isolated Bacteriophage to Inactivate Klebsiella pneumoniae: Preliminary Studies to Control Urinary Tract Infections

The Citizen Phage Library: Rapid Isolation of Phages for the Treatment of Antibiotic Resistant Infections in the UK


[WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Deep Anomaly Detection with Outlier Exposure

Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments


Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code

BAS: Beetle Antennae Search Algorithm for Optimization Problems

Beetle Swarm Optimization Algorithm:Theory and Application

Beetle Antennae Search without Parameter Tuning (BAS-WPT) for Multi-objective Optimization

BSAS: Beetle Swarm Antennae Search Algorithm for Optimization Problems


Use R to get data from the Environmental Protection Agency API


The GN Model of Non-Linear Propagation in Uncompensated Coherent Optical Systems

A Closed-Form Approximation of the Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering

The Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering

Achievable rate degradation of ultra-wideband coherent fiber communication systems due to stimulated Raman scattering.

The ISRS GN Model, an Efficient Tool in Modeling Ultra-Wideband Transmission in Point-to-Point and Network Scenarios

European Conference on Optical Communication


YOLOV1 to V4 implemented in tensorflow 2 (tf.keras).

You Only Look Once: Unified, Real-Time Object Detection

YOLOv3: An Incremental Improvement

YOLO9000: Better, Faster, Stronger

YOLOv4: Optimal Speed and Accuracy of Object Detection


corpus and code for joint modeling of dialogue acts and sentiments in social media

DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification

Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification

Multi-task dialog act and sentiment recognition on Mastodon

DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition

Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions

International Conference on Computational Linguistics


Proximal Policy Optimization Algorithms

Addressing Function Approximation Error in Actor-Critic Methods

Clipped-Objective Policy Gradients for Pessimistic Policy Optimization


The implementation of "Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding"

Llama 2: Open Foundation and Fine-Tuned Chat Models

Beyond English-Centric Multilingual Machine Translation

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages


In-place Parallel Super Scalar Samplesort (IPS⁴o)

In-place Parallel Super Scalar Samplesort (IPS^4o)

Engineering Faster Sorters for Small Sets of Items

Simple and Fast BlockQuicksort using Lomuto's Partitioning Scheme


Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

BEiT: BERT Pre-Training of Image Transformers

Unified Language Model Pre-training for Natural Language Understanding and Generation

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

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

MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers

LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

The Hidden Uniform Cluster Prior in Self-Supervised Learning


Equilibrium Expectation for ERGM parameter estimation for large networks

Exponential random graph model parameter estimation for very large directed networks

Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data

Patent citation network analysis: A perspective from descriptive statistics and ERGMs

Auxiliary Parameter MCMC for Exponential Random Graph Models

A Simple Algorithm for Scalable Monte Carlo Inference


Creative Commons Attribution Share Alike 4.0 International

[EACL'23] MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

Incorporating External Knowledge through Pre-training for Natural Language to Code Generation

Deep Learning Based Code Generation Methods: A Literature Review

Generative Software Engineering


Federated Learning package

Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks

Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems

An Energy and Carbon Footprint Analysis of Distributed and Federated Learning

A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning

On the Importance of Trust in Next-Generation Networked CPS Systems: An AI Perspective


An accessible and flexible tool for fitting demographic models with dadi using custom or published models (available here), conducting goodness of fit tests, and plotting.

Ancestral and neo-sex chromosomes contribute to population divergence in a dioecious plant

Evidence for Glacial Refugia of the Forest Understorey Species Helleborus niger (Ranunculaceae) in the Southern as Well as in the Northern Limestone Alps

Phylogeography and the Evolutionary History of Sunflower (Helianthus annuus L.): Wild Diversity and the Dynamics of Domestication


Knowledge Discovery for COVID19: Search the full text of CORD19 research papers on COVID 19

The DisGeNET knowledge platform for disease genomics: 2019 update

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research

A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature


Educational tools for AI Ethics and Safety research

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Agent57: Outperforming the Atari Human Benchmark


Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

nuScenes: A multimodal dataset for autonomous driving

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning


Load Monitoring and Energy Disaggregation on a RasPi


A Python program for calculating the surface SHG yield for semiconductors.

Theory of surface second-harmonic generation for semiconductors including effects of nonlocal operators

Three-layer model for the surface second-harmonic generation yield including multiple reflections

Improved ab initio calculation of surface second-harmonic generation from Si(111)(1×1):H

Depth-Dependent Three-Layer Model for the Surface Second-Harmonic Generation Yield


A Novel Approximate Adder Design Using Error Reduced Carry Prediction and Constant Truncation

An Internal Cluster Validity Index Using a Distance-based Separability Measure

International Conference on Tools with Artificial Intelligence

Adaptive Nonparametric Clustering

Clustering performance analysis using a new correlation-based cluster validity index

COREA: Delay- and Energy-Efficient Approximate Adder Using Effective Carry Speculation

Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion

Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection

Efficient Privacy-Preserving K-Means Clustering from Secret-Sharing-Based Secure Three-Party Computation

Cluster Validity Index for Uncertain Data Based on a Probabilistic Distance Measure in Feature Space

A New Index for Clustering Evaluation Based on Density Estimation


A Pytroch Implementation of Some Backdoor Attack Algorithms, Including BadNets, SIG, FIBA, FTrojan ...

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

A new Backdoor Attack in CNNs by training set corruption without label poisoning

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis


[Survey@Pattern Recognition] Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)

Pedestrian Attribute Recognition: A Survey

Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion

SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition


Course Materials for EN.601.452 / AS.020.415 Computational Biomedical Research & Advanced Biomedical Research

Kraken: ultrafast metagenomic sequence classification using exact alignments

MAKER2: an annotation pipeline and genome-database management tool for second-generation genome projects

Big Data: Astronomical or Genomical?

Chapter 11: Genome-Wide Association Studies

Eleven grand challenges in single-cell data science

Quake: quality-aware detection and correction of sequencing errors

Chapter 12: Human Microbiome Analysis


Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.

Context-adaptive Entropy Model for End-to-end Optimized Image Compression

Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds

Deep Learning-based Image Compression with Trellis Coded Quantization

Leveraging Spatial and Temporal Correlations for Network Traffic Compression

Universal and Succinct Source Coding of Deep Neural Networks


[TMLR23] FedDAG: Federated DAG Structure Learning

Masked Gradient-Based Causal Structure Learning

gCastle: A Python Toolbox for Causal Discovery

Towards Federated Bayesian Network Structure Learning with Continuous Optimization

Federated Causal Discovery from Heterogeneous Data


DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)

Variational image compression with a scale hyperprior

Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model

IEEE Journal on Selected Topics in Signal Processing

Efficient Video Compression via Content-Adaptive Super-Resolution

Neural Video Compression using GANs for Detail Synthesis and Propagation

Foreground-Background Parallel Compression With Residual Encoding for Surveillance Video

Video Coding Using Learned Latent GAN Compression


Modified Gravity and Cosmology with Binary Black Holes' Population models : hierarchical bayesian inference package for constraining the Hubble constant, modified GW propagation and BBH population models with GWs.

Forecasting the Detection Capabilities of Third-generation Gravitational-wave Detectors Using GWFAST

Cosmology and Astrophysics with Standard Sirens and Galaxy Catalogs in View of Future Gravitational Wave Observations

Gravitational-wave cosmology with dark sirens: state of the art and perspectives for 3G detectors

Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022)


K means algorithm on the unit sphere

Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters

Monthly Notices of the Royal Astronomical Society

Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data

Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies

Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

Weak lensing by galaxy troughs in DES Science Verification data

Dark Energy Survey Year 1 Results: Detection of Intracluster Light at Redshift ∼ 0.25

Dark Energy Survey Year 1 results: curved-sky weak lensing mass map

The ellipticity of galaxy cluster haloes from satellite galaxies and weak lensing

Constraints on the redshift evolution of astrophysical feedback with Sunyaev-Zel'dovich effect cross-correlations


Unified benchmark and model for causal text mining

Event Causality Identification with Causal News Corpus - Shared Task 3, CASE 2022

UniCausal: Unified Benchmark and Repository for Causal Text Mining

Constructing and Interpreting Causal Knowledge Graphs from News


Official Git repository of R package meta

Progression-Free Survival and Overall Survival of CDK 4/6 Inhibitors Plus Endocrine Therapy in Metastatic Breast Cancer: A Systematic Review and Meta-Analysis

Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study

Alaskan carbon-climate feedbacks will be weaker than inferred from short-term experiments

Occupational Lead Exposure and Brain Tumors: Systematic Review and Meta-Analysis

International journal of environmental research and public health

The Use of Tocilizumab in Patients with COVID-19: A Systematic Review, Meta-Analysis and Trial Sequential Analysis of Randomized Controlled Studies

Impact of differences in acute respiratory distress syndrome randomised controlled trial inclusion and exclusion criteria: systematic review and meta-analysis

Clinical and radiographic outcomes of upper thoracic versus lower thoracic upper instrumented vertebrae for adult scoliosis: a meta-analysis

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas

Effect of the COVID-19 pandemic on the proportion of physically active children and adults worldwide: A systematic review and meta-analysis

Higher versus lower dose corticosteroids for severe to critical COVID-19: A systematic review and dose-response meta-analysis

Direct Oral Anticoagulants as the First Choice of Anticoagulation for Patients with Peripheral Artery Disease to Prevent Adverse Vascular Events: A Systematic Review and Meta-Analysis

Journal of cardiovascular development and disease


Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts  model (aka piecewise constant Mumford-Shah model)

Fast Partitioning of Vector-Valued Images

An image reconstruction model regularized by edge-preserving diffusion and smoothing for limited-angle computed tomography

A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation

Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise

An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation


Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020

Generative Adversarial Imitation Learning

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

A Divergence Minimization Perspective on Imitation Learning Methods

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

A Ranking Game for Imitation Learning

Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees

Imitation learning by state-only distribution matching

Reward Learning using Structural Motifs in Inverse Reinforcement Learning

Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble


2b-RAD: a simple and flexible method for genome-wide genotyping

Serial sequencing of isolength RAD tags for cost-efficient genome-wide profiling of genetic and epigenetic variations

Species-resolved sequencing of low-biomass or degraded microbiomes using 2bRAD-M

Species-Resolved Metagenomics of Kindergarten Microbiomes Reveal Microbial Admixture Within Sites and Potential Microbial Hazards

Characterization and Preliminary Application of a Novel Lytic Vibrio parahaemolyticus Bacteriophage vB_VpaP_SJSY21

Gallbladder microbial species and host bile acids biosynthesis linked to cholesterol gallstone comparing to pigment individuals

Frontiers in cellular and infection microbiology

Metagenomic Characterization and Comparative Analysis of Removable Denture-Wearing and Non-Denture-Wearing Individuals in Healthy and Diseased Periodontal Conditions


Quickstart for EURO Meets NeurIPS 2022 Vehicle Routing Competition

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Deep Policy Dynamic Programming for Vehicle Routing Problems

PILS: Exploring high-order neighborhoods by pattern mining and injection

An Iterative Sample Scenario Approach for the Dynamic Dispatch Waves Problem


The Sloan Digital Sky Survey Quasar Catalog: Sixteenth Data Release

The Astrophysical Journal Supplement Series

The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Lyα Forests

QuasarNET: Human-level spectral classification and redshifting with Deep Neural Networks

Detecting and Characterizing Mg ii Absorption in DESI Survey Validation Quasar Spectra

A striking relationship between dust extinction and radio detection in DESI QSOs: evidence for a dusty blow-out phase in red QSOs


Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions

Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction

roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs


alfonso: ALgorithm For Non-Symmetric Optimization

A homogeneous interior-point algorithm for nonsymmetric convex conic optimization

Sum-of-squares optimization without semidefinite programming

Alfonso: Matlab Package for Nonsymmetric Conic Optimization

Performance enhancements for a generic conic interior point algorithm

Complexity Analysis of a Sampling-Based Interior Point Method for Convex Optimization


Domain-Independent Dynamic Programming (DIDP) framework implemented in Rust.

Domain-Independent Dynamic Programming: Generic State Space Search for Combinatorial Optimization


Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance

Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting

IEEE transactions on neural networks and learning systems

On the Limitations of Stochastic Pre-processing Defenses


Practical Federated Gradient Boosting Decision Trees

Privacy-Preserving Gradient Boosting Decision Trees

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems


Enabling easy statistical significance testing for deep neural networks.

SkillSpan: Hard and Soft Skill Extraction from English Job Postings

From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding

deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks

Cartography Active Learning

What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification

Experimental Standards for Deep Learning in Natural Language Processing Research

An Empirical Study on Cross-X Transfer for Legal Judgment Prediction

Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning

DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning


Fast K-Medoids clustering in Python with FasterPAM

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

Fast k-medoids Clustering in Rust and Python

Medoid Silhouette clustering with automatic cluster number selection

Clustering by Direct Optimization of the Medoid Silhouette


Gaussian random variables.

Bc→J/ψ
 form factors for the full
q2
 range from lattice QCD

Gluon gravitational structure of hadrons of different spin

Two-nucleon S -wave interactions at the SU(3) flavor-symmetric point with mud≈ msphys: A first lattice QCD calculation with the stochastic Laplacian Heaviside method

FK /Fπ from Möbius domain-wall fermions solved on gradient-flowed HISQ ensembles

Gravitational form factors of the pion from lattice QCD

Gravitational form factors of the proton from lattice QCD

Improved information criteria for Bayesian model averaging in lattice field theory

Scale setting the Möbius domain wall fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scales t0 and w0

B_s → D_s^* Form Factors for the full q^2 range from
  Lattice QCD

Unpolarized proton PDF at NNLO from lattice QCD with physical quark masses


LAMMPS interface for phonon calculations using phonopy

DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models

Phonons in twisted transition-metal dichalcogenide bilayers: Ultrasoft phasons and a transition from a superlubric to a pinned phase

Thermoelastic properties of bridgmanite using deep-potential molecular dynamics

Development of the RF-MEAM Interatomic Potential for the Fe-C System to Study the Temperature-Dependent Elastic Properties


FarsTail: a Persian natural language inference dataset

FarsTail: A Persian Natural Language Inference Dataset

Contradiction Detection in Persian Text

Persian Natural Language Inference: A Meta-learning approach


Python code to fit absorption lines semi-interactively

Large Metallicity Variations in the Galactic Interstellar Medium

Measuring the H i Content of Individual Galaxies Out to the Epoch of Reionization with [C ii]

VoigtFit: A Python package for Voigt profile fitting

New constraints on the physical conditions in H2-bearing GRB-host damped Lyman-α absorbers

The COS-legacy survey of C IV absorbers: properties and origins of the intervening systems

Gravitationally Lensed Quasar SDSS J1442+4055: Redshifts of Lensing Galaxies, Time Delay, Microlensing Variability, and Intervening Metal System atz∼ 2

Metal Lines Associated with the Lyα Forest from eBOSS Data


R package to assess water quality trends with generalized additive models

Multi-scale trend analysis of water quality using error propagation of generalized additive models.


IST'21 & SANER'22: Semantic-Preserving Program Transformations

A Convolutional Attention Network for Extreme Summarization of Source Code

On the generalizability of Neural Program Models with respect to semantic-preserving program transformations

Testing Neural Program Analyzers

Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code


genetic distance plotting for recombination events analysis

RDP4: Detection and analysis of recombination patterns in virus genomes

Expanded classification of hepatitis C virus into 7 genotypes and 67 subtypes: Updated criteria and genotype assignment web resource

Analysis and insights into recombination signals in lumpy skin disease virus recovered in the field

Comparative genomics and characterization of SARS-CoV-2 P.1 (Gamma) Variant of Concern (VOC) from Amazonas, Brazil

Recan: Python tool for analysis of recombination events in viral genomes


SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Breaking the centralized barrier for cross-device federated learning

Accelerated Federated Learning with Decoupled Adaptive Optimization


Dataset and code for paper: ``ROAD-R: The Autonomous Driving Dataset with Logical Requirements''

ROAD-R: the autonomous driving dataset with logical requirements

Machine Learning with Requirements: a Manifesto


Mitigating Data Heterogeneity in Federated Learning with Data Augmentation

Proportional Fairness in Federated Learning

Understanding Hessian Alignment for Domain Generalization

Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift


DSAC* for Visual Camera Re-Localization (RGB or RGB-D)

DSAC - Differentiable RANSAC for Camera Localization

Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC

Rigidity Preserving Image Transformations and Equivariance in Perspective


PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac

PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers


Extended Joint Models for Longitudinal and Survival Data

Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations

Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data

Bivariate joint models for survival and change of cognitive function

Flexible joint models for multivariate longitudinal and time-to-event data using multivariate functional principal components


Wind energy library, python and matlab tools for wind turbines analyses


stackr: an R package to run stacks software pipeline

Guidelines for planning genomic assessment and monitoring of locally adaptive variation to inform species conservation

Salmonid chromosome evolution as revealed by a novel method for comparing RADseq linkage maps

Supplementation stocking of Lake Trout (Salvelinus namaycush) in small boreal lakes: Ecotypes influence on growth and condition

Conservation genetics of the eastern yellow-bellied racer (Coluber constrictor flaviventris) and bullsnake (Pituophis catenifer sayi): River valleys are critical features for snakes at northern range limits

Associative Overdominance and Negative Epistasis Shape Genome-Wide Ancestry Landscape in Supplemented Fish Populations


Deconvolution of calcium imaging data

Fast online deconvolution of calcium imaging data

Fast Nonconvex Deconvolution of Calcium Imaging Data

Anesthetics fragment hippocampal network activity, alter spine dynamics, and affect memory consolidation

Functional triplet motifs underlie accurate predictions of single-trial responses in populations of tuned and untuned V1 neurons

Prefrontal cortical regulation of REM sleep

Synthesising Realistic Calcium Traces of Neuronal Populations Using GAN


Sentence Embeddings with BERT & XLNet

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation


Additional material for the paper "MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction"

MoralStrength: Exploiting a moral lexicon and embedding similarity for moral foundations prediction

The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments

From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains

Investigating Moral Foundations from Web Trending Topics


2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

ResUNet++: An Advanced Architecture for Medical Image Segmentation

Video Polyp Segmentation: A Deep Learning Perspective


Fisher forecasting code for use with class_delens

The benefits of CMB delensing

Subtracting the kinetic Sunyaev-Zeldovich effect from the cosmic microwave background with surveys of large-scale structure

Probing helium reionization with kinetic Sunyaev Zel'dovich tomography

Improving constraints on models addressing the Hubble tension with CMB delensing

Improving constraints on inflation with CMB delensing

Beyond Fisher forecasting for cosmology

Probing light relics through cosmic dawn


Mapping of OPENQASM programs to IBM QX satisfying the architectural constraints

t|ket⟩: a retargetable compiler for NISQ devices

On the qubit routing problem

Optimality Study of Existing Quantum Computing Layout Synthesis Tools

Efficient quantum gate decomposition via adaptive circuit compression

Using Spectral Graph Theory to Map Qubits onto Connectivity-limited Devices

String Abstractions for Qubit Mapping

Development of a multi-technology, template-based quantum circuits compilation toolchain

The promising path of evolutionary optimization to avoid barren plateaus


A Python toolkit for (simulation-based) inference and the mechanization of science.

SBI -- A toolkit for simulation-based inference

Likelihood-free MCMC with Amortized Approximate Ratio Estimators

Benchmarking Simulation-Based Inference

Error-guided likelihood-free MCMC


Multi-model video-to-text by combining embeddings from Flan-T5 + CLIP + Whisper + SceneGraph. The 'backbone LLM' is pre-trained from scratch on YouTube (YT-1B dataset).

PaLM-E: An Embodied Multimodal Language Model

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

Prismer: A Vision-Language Model with Multi-Task Experts

Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained Experts


Equilibrium Verification Environment (EVE) is a formal verification tool for the automated analysis of temporal equilibrium properties of concurrent and multi-agent systems.

PRISM-games 3.0: Stochastic Game Verification with Concurrency, Equilibria and Time

Automated Temporal Equilibrium Analysis: Verification and Synthesis of Multi-Player Games

Automatic Verification of Concurrent Stochastic Systems

Multi-player Equilibria Verification for Concurrent Stochastic Games

Probabilistic Model Checking for Strategic Equilibria-based Decision Making: Advances and Challenges


RaMa-Scene a web-platform to analyse Environmentally Extended Input-Output data and generate scenarios


This toolbox includes MATLAB scripts to perform a "spin test" of anatomical correspondence between cortical surface maps, as presented in "On testing for spatial correspondence between maps of human brain structure and function," Alexander-Bloch et al., NeuroImage, 2018.

Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

Dissociable Multi-scale Patterns of Development in Personalized Brain Networks

Functional harmonics reveal multi-dimensional basis functions underlying cortical organization

Women’s neuroplasticity during gestation, childbirth and postpartum

Variation in subcortical anatomy: relating interspecies differences, heritability, and brain-behavior relationships


Algorithmic fairness datasets: the story so far

Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning

Addressing Strategic Manipulation Disparities in Fair Classification


KFF Data on Coronavirus

How local partisan context conditions prosocial behaviors: Mask wearing during COVID-19

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

Differential Impact of COVID-19 Risk Factors on Ethnicities in the United States

The efficiency of COVID cases to COVID policies: a robust conditional approach

The effectiveness of COVID deaths to COVID policies: A robust conditional approach

Predicting COVID-19 county-level case number trend by combining demographic characteristics and social distancing policies


Pseudo Likelihood Maximization for protein in Julia

Fast pseudolikelihood maximization for direct-coupling analysis of protein structure from many homologous amino-acid sequences

Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models

Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis

Inferring protein-protein interaction networks from inter-protein sequence co-evolution

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

Parsimonious evolutionary scenario for the origin of allostery and coevolution patterns in proteins

Impact of phylogeny on structural contact inference from protein sequence data

Prediction of Structures and Interactions from Genome Information

INTEGRATIVE STRUCTURAL BIOLOGY WITH HYBRID METHODS


Virtual Imaging Clinical Trial for Regulatory Evaluation

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA's Office of Science and Engineering Laboratories

Deep learning in photoacoustic imaging: a review

SIMPA: an open-source toolkit for simulation and image processing for photonics and acoustics

In situ tumor model for longitudinal in silico imaging trials


RADseq workflow using STACKS

Demographic history shaped geographical patterns of deleterious mutation load in a broadly distributed Pacific Salmon

Predicting the genetic impact of stocking in Brook Charr (Salvelinus fontinalis) by combining RAD sequencing and modeling of explanatory variables

Genetic and morphological support for possible sympatric origin of fish from subterranean habitats

Impact of supplementation on deleterious mutation distribution in an exploited salmonid

Supplementation stocking of Lake Trout (Salvelinus namaycush) in small boreal lakes: Ecotypes influence on growth and condition

Medaka Population Genome Structure and Demographic History Described via Genotyping-by-Sequencing

Design and validation of a 63K genome-wide SNP-genotyping platform for caribou/reindeer (Rangifer tarandus)

Evolution of an Amazonian Fish Is Driven by Allopatric Divergence Rather Than Ecological Divergence

Genomic Signatures of Local Adaptation under High Gene Flow in Lumpfish—Implications for Broodstock Provenance Sourcing and Larval Production


This is the code associated with the paper A Variational Inequality Perspective for Generative Adversarial Networks.

A Variational Inequality Perspective on Generative Adversarial Networks

Competitive Physics Informed Networks

Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence

Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks


A new CardEst Benchmark to Bridge AI and DBMS

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

Lero: A Learning-to-Rank Query Optimizer

FactorJoin: A New Cardinality Estimation Framework for Join Queries


A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.

HONEST: Measuring Hurtful Sentence Completion in Language Models

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals

Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies


Deprecated repository for "Deep Learning with Topological Signatures"

Persistence Codebooks for Topological Data Analysis

Persistence Bag-of-Words for Topological Data Analysis


Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

Opytimizer: A Nature-Inspired Python Optimizer

Large-scale Benchmarking of Metaphor-based Optimization Heuristics


The who, what, and where of Voytek Lab code.

Parameterizing neural power spectra into periodic and aperiodic components

Cycle-by-cycle analysis of neural oscillations

Methodological considerations for studying neural oscillations

Electrophysiological Frequency Band Ratio Measures Conflate Periodic and Aperiodic Neural Activity


An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.

Chordal decomposition in operator-splitting methods for sparse semidefinite programs

Fast ADMM for Semidefinite Programs with Chordal Sparsity

Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization

Improving Efficiency and Scalability of Sum of Squares Optimization: Recent Advances and Limitations

Fast ADMM for Sum-of-Squares Programs Using Partial Orthogonality

Exploiting Sparsity in the Coefficient Matching Conditions in Sum-of-Squares Programming Using ADMM

Fast ADMM for homogeneous self-dual embedding of sparse SDPs

Scalable analysis of linear networked systems via chordal decomposition

An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs

Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization


(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

Extended Isolation Forest

IEEE Transactions on Knowledge and Data Engineering

Robust random cut forest based anomaly detection on streams

International Conference on Machine Learning

Isolation Kernel and Its Effect on SVM

Randomized outlier detection with trees

Revisiting randomized choices in isolation forests

Distance approximation using Isolation Forests

Imputing missing values with unsupervised random trees

Isolation forests: looking beyond tree depth

Anomaly Detection Based on Isolation Mechanisms: A Survey


Soil Data Access Web Services


Selected configuration interaction wave functions in phaseless auxiliary field quantum Monte Carlo

Fixed- and Partial-Node Approximations in Slater Determinant Space for Molecules


Zero-Shot Refinement of Buildings' Segmentation Models using SAM

Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation

Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation


A novel R package that can identify and visualize 17 Sustainable Development Goals and associated 169 Targets in text

SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals


A library for building hierarchical text representation and corresponding downstream applications.

R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation

Generative Pretrained Structured Transformers: Unsupervised Syntactic
  Language Models at Scale

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification

Augmenting transformers with recursively composed multi-grained representations


A pipeline to de novo assemble the stLFR reads using Supernova Assembler

African Arowana Genome Provides Insights on Ancient Teleost Evolution

Comparison of different sequencing strategies for assembling chromosome-level genomes of extremophiles with variable GC content

Chromosome-level genome of butterflyfish unveils genomic features of unique colour patterns and morphological traits

DNA research : an international journal for rapid publication of reports on genes and genomes

Unravelling the genomic features, phylogeny and genetic basis of tooth ontogenesis in Characiformes through analysis of four genomes

A high-quality chromosome-level genome assembly of the Chinese medaka Oryzias sinensis


A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

Tools and Benchmarks for Automated Log Parsing

Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics.

A Survey on Automated Log Analysis for Reliability Engineering

Log-based Anomaly Detection Without Log Parsing

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics

UniParser: A Unified Log Parser for Heterogeneous Log Data

Log Parsing with Prompt-based Few-shot Learning

Prompting for Automatic Log Template Extraction

Log-based software monitoring: a systematic mapping study


TACCO unifies annotation transfer and decomposition of cell identities for single-cell and spatial omics

A dynamical systems treatment of transcriptomic trajectories in hematopoiesis

CellDestiny: A RShiny application for the visualization and analysis of single-cell lineage tracing data


q2 Python package

The Solar Twin Planet Search. I. Fundamental parameters of the stellar sample

The temporal evolution of neutron-capture elements in the Galactic discs

Abundance to age ratios in the HARPS-GTO sample with Gaia DR2. Chemical clocks for a range of [Fe/H]

The Solar Twin Planet Search III. The [Y/Mg] clock: estimating stellar ages of solar-type stars

Nucleosynthetic history of elements in the Galactic disk - [X/Fe]–age relations from high-precision spectroscopy

THE DISSIMILAR CHEMICAL COMPOSITION OF THE PLANET-HOSTING STARS OF THE XO-2 BINARY SYSTEM

Planet signatures and effect of the chemical evolution of the Galactic thin-disk stars

The Gaia-ESO survey: the non-universality of the age–chemical-clocks–metallicity relations in the Galactic disc

THE CURIOUS CASE OF ELEMENTAL ABUNDANCE DIFFERENCES IN THE DUAL HOT JUPITER HOSTS WASP-94A AND B

The Solar Twin Planet Search IV. The Sun as a typical rotator and evidence for a new rotational braking law for Sun-like stars


Iso-Seq - Scalable De Novo Isoform Discovery from Single-Molecule PacBio Reads

Genomic and transcriptomic variation defines the chromosome-scale assembly of Haemonchus contortus, a model gastrointestinal worm

A Reference Genome Sequence for Giant Sequoia

Genome sequence of the corn leaf aphid (Rhopalosiphum maidis Fitch)

Long-read transcriptome sequencing reveals abundant promoter diversity in distinct molecular subtypes of gastric cancer

Topologically associating domains and their role in the evolution of genome structure and function in Drosophila

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology

Chromosome-Level Assembly of the Caenorhabditis remanei Genome Reveals Conserved Patterns of Nematode Genome Organization

Assembled and annotated 26.5 Gbp coast redwood genome: a resource for estimating evolutionary adaptive potential and investigating hexaploid origin

Chromosome-level Thlaspi arvense genome provides new tools for translational research and for a newly domesticated cash cover crop of the cooler climates

Computational Methods for Mapping, Assembly and Quantification for Coding and Non-coding Transcripts

Computational and structural biotechnology journal


Grove starter kit for TI LaunchPad(MSP430/CC3200 etc).

A Verified Architecture for Proofs of Execution on Remote Devices under Full Software Compromise

DIALED: Data Integrity Attestation for Low-end Embedded Devices

Tiny-CFA: A Minimalistic Approach for Control-Flow Attestation Using Verified Proofs of Execution

ACFA: Secure Runtime Auditing & Guaranteed Device Healing via Active Control Flow Attestation

Privacy-from-Birth: Protecting Sensed Data from Malicious Sensors with VERSA


A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs

On maximizing algebraic connectivity of networks for various engineering applications

Synthesizing Robust Communication Networks for Unmanned Aerial Vehicles With Resource Constraints

Volume 1: Adaptive Control; Advanced Vehicle Propulsion Systems; Aerospace Systems; Autonomous Systems; Battery Modeling; Biochemical Systems; Control Over Networks; Control Systems Design; Cooperativ

Optimal Robust Network Design: Formulations and Algorithms for Maximizing Algebraic Connectivity


[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

Label Efficient Visual Abstractions for Autonomous Driving

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing

DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle


Pathways for Renewable Energy Planning coupling Short-term Hydropower OperaTion

Balancing-oriented hydropower operation makes the clean energy transition more affordable and simultaneously boosts water security


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


Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series

A deep learning approach to solar radio flux forecasting

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies

Full Scaling Automation for Sustainable Development of Green Data Centers

Counterfactual Explanations for Time Series Forecasting


A collection of public codes for recasting long-lived particle searches

Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report

Displaced new physics at colliders and the early universe before its first second

Probing dark matter with disappearing tracks at the LHC

Zenodo (CERN European Organization for Nuclear Research)

Recasting LHC searches for long-lived particles with MadAnalysis 5

Constraining electroweakinos in the minimal Dirac gaugino model

Reinterpretation of searches for long-lived particles from meson decays

Constraining electroweak and strongly charged long-lived particles with CheckMATE

Data and Analysis Preservation, Recasting, and Reinterpretation

Emerging jet probes of strongly interacting dark sectors

Quark flavor violation and axion-like particles from top-quark decays at
  the LHC


Read Until client library for Nanopore Sequencing

SquiggleFilter: An Accelerator for Portable Virus Detection

Barcode aware adaptive sampling for GridION and PromethION Oxford Nanopore sequencers

Benchmarking microbial DNA enrichment protocols from human intestinal biopsies

NASCarD (Nanopore Adaptive Sampling with Carrier DNA): A Rapid, PCR-Free Method for SARS-CoV-2 Whole-Genome Sequencing in Clinical Samples


Open-source opinionated Galaxy-based framework for microbiota analysis

ASaiM: a Galaxy-based framework to analyze microbiota data

ASaiM-MT: a validated and optimized ASaiM workflow for metatranscriptomics analysis within Galaxy framework

ASaiM: a Galaxy-based framework to analyze raw shotgun data from microbiota


Workflow for SARS-CoV-2 genome Assembly at FioCruz/IAM

Unusual SARS-CoV-2 intra-host diversity reveals lineages superinfection

Influenza A(H3N2) infection followed by separate COVID-19 infection

Revista panamericana de salud publica = Pan American journal of public health

ViralFlow: an automated workflow for SARS-CoV-2 genome assembly, lineage assignment, mutations and intrahost variants detection

Assessment of clinical characteristics and viral load in individuals infected by Delta and Omicron variants of SARS-CoV-2


Resources about Design + AI (papers, datasets, events, companies, etc.)

May AI? Design Ideation with Cooperative Contextual Bandits

Beauty in artistic expressions through the eyes of networks and physics

Designing with AI for Digital Marketing

User Modeling, Adaptation, and Personalization

Learning to Select Elements for Graphic Design

International Conference on Multimedia Retrieval

Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study

Artificial intelligence for engineering design, analysis and manufacturing

Exemplar based experience transfer


A Baseline for Multilingual Sentiment Analysis

An Automated Text Categorization Framework based on Hyperparameter Optimization

A Simple Approach to Multilingual Polarity Classification in Twitter

EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis

IEEE Computational Intelligence Magazine

INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis

Meeting of the Association for Computational Linguistics

INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification

North American Chapter of the Association for Computational Linguistics

INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis


Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

Embarrassingly Shallow Autoencoders for Sparse Data

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

A Comprehensive Survey on Trustworthy Recommender Systems

Infinite Recommendation Networks: A Data-Centric Approach

Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction

Improving Accountability in Recommender Systems Research Through Reproducibility


[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

X-Align++: cross-modal cross-view alignment for Bird’s-eye-view segmentation

IEEE Workshop/Winter Conference on Applications of Computer Vision

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers

Better Monocular 3D Detectors with LiDAR from the Past


elastic fda python code

Active Licking Shapes Cortical Taste Coding


Registration of cells across sessions.

Tracking the Same Neurons across Multiple Days in Ca2+ Imaging Data

Dorsal periaqueductal gray ensembles represent approach and avoidance states

Neural signatures of auditory hypersensitivity following acoustic trauma

Optogenetic frequency scrambling of hippocampal theta oscillations dissociates working memory retrieval from hippocampal spatiotemporal codes

Accelerated social representational drift in the nucleus accumbens in a model of autism

Population dynamics underlying associative learning in the dorsal and ventral hippocampus


:no_entry: ARCHIVED :no_entry: Wraps UMAP Algorithm for Dimension Reduction

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Three-dimensional bioprinted glioblastoma microenvironments model cellular dependencies and immune interactions

Ret deficiency decreases neural crest progenitor proliferation and restricts fate potential during enteric nervous system development

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

Multi-omic analyses reveal antibody-dependent natural killer cell-mediated cytotoxicity in autoimmune thyroid diseases


Accelerating cosmological inference with Gaussian processes and neural networks – an application to LSST Y1 weak lensing and galaxy clustering

Early dark energy constraints with late-time expansion marginalization

Interpreting Internal Consistency of DES Measurements

Investigating Late-Time Dark Energy and Massive Neutrinos in Light of
  DESI Y1 BAO


An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Automated Machine Learning: State-of-The-Art and Open Challenges

OBOE: Collaborative Filtering for AutoML Model Selection

Testing the Suitability of Automated Machine Learning for Weeds Identification

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


Scripts for reproducing analyses of large RNA-seq datasets

Human splicing diversity and the extent of unannotated splice junctions across human RNA-seq samples on the Sequence Read Archive

Rail-dbGaP: analyzing dbGaP-protected data in the cloud with Amazon Elastic MapReduce

recount: A large-scale resource of analysis-ready RNA-seq expression data

Comprehensive analysis of RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues

Human splicing diversity across the Sequence Read Archive


PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks

Parallel model exploration for tumor treatment simulations

Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells


Higher Groups in Homotopy Type Theory

Homotopy Type Theory in Lean

On the Formalization of Higher Inductive Types and Synthetic Homotopy Theory

The real projective spaces in homotopy type theory

Classifying Types.

The Hurewicz theorem in homotopy type theory

Nilpotent types and fracture squares in homotopy type theory

Mathematical Structures in Computer Science


A framework for high-level Analysis of Ethereum Bytecode

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

EthIR: A Framework for High-Level Analysis of Ethereum Bytecode

Smart Contract Vulnerability Detection Technique: A Survey

EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode

SAFEVM: A Safety Verifier for Ethereum Smart Contracts

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair


Open-source software for intracranial electrode localization and visualization

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

Imagined speech can be decoded from low- and cross-frequency intracranial EEG features

Augmenting hippocampal–prefrontal neuronal synchrony during sleep enhances memory consolidation in humans

Prestimulus amygdala spectral activity is associated with visual face awareness


Pytorch implementation of the PVDN dataset.

Provident Detection of Vehicles at Night

Provident vehicle detection at night for advanced driver assistance systems

A Dataset for Provident Vehicle Detection at Night


TenStream - a 3D radiative transfer solver for earth system models


PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics

Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon


AMD SEV Tool

Separation of Powers in Federated Learning (Poster Paper)

Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning

Trusted Container Extensions for Container-based Confidential Computing


IPv6 attack toolkit

ICMPv6-Based DoS and DDoS Attacks Detection Using Machine Learning Techniques, Open Challenges, and Blockchain Applicability: A Review

Labelled Dataset on Distributed Denial-of-Service (DDoS) Attacks Based on Internet Control Message Protocol Version 6 (ICMPv6)

Wireless Communications and Mobile Computing

An SDN-Based Approach to Ward Off LAN Attacks

Journal of Computer Networks and Communications


A curated list of awesome papers on dataset distillation and related applications.

Dataset Condensation with Gradient Matching

Optimizing Millions of Hyperparameters by Implicit Differentiation

Dataset Distillation

Dataset Condensation with Differentiable Siamese Augmentation

Dataset Condensation with Distribution Matching

Dataset Meta-Learning from Kernel Ridge-Regression

Dataset Distillation with Infinitely Wide Convolutional Networks

CAFE: Learning to Condense Dataset by Aligning Features

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

Distilled One-Shot Federated Learning


Model of nonverbal behavior for socio-emotional virtual characters

Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety

PROCEEDINGS OF THE 21ST ACM INTERNATIONAL CONFERENCE ON INTELLIGENT VIRTUAL AGENTS (IVA)

The POTUS Corpus, a Database of Weekly Addresses for the Study of Stance in Politics and Virtual Agents

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

Join Me Here if You Will: Investigating Embodiment and Politeness Behaviors When Joining Small Groups of Humans, Robots, and Virtual Characters

Proceedings of the CHI Conference on Human Factors in Computing Systems


A starter agent that can solve a number of universe environments.

Asynchronous Methods for Deep Reinforcement Learning

Value Prediction Network

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

IEEE transactions on neural networks and learning systems

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning


Global scenarios of the Ocean Health Index


An R meta-package for the analysis of Next Generation Sequencing data

In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA

Chronic viral infections persistently alter marrow stroma and impair hematopoietic stem cell fitness

Spatial transcriptomics combined with single‐cell RNA‐sequencing unravels the complex inflammatory cell network in atopic dermatitis

Allergy. European Journal of Allergy and Clinical Immunology

Beyond detoxification: a role for mouse mEH in the hepatic metabolism of endogenous lipids

Serum deprivation limits loss and promotes recovery of tenogenic phenotype in tendon cell culture systems

Journal of orthopaedic research : official publication of the Orthopaedic Research Society

Spontaneous reactivation of latent HIV-1 promoters is linked to the cell cycle as revealed by a genetic-insulators-containing dual-fluorescence HIV-1-based vector

Replacing the SpCas9 HNH domain by deaminases generates compact base editors with an alternative targeting scope

The Role of IL-13 and IL-4 in Adipose Tissue Fibrosis

International journal of molecular sciences

Inactivation of the tumor suppressor gene Apc synergizes with H. pylori to induce DNA damage in murine gastric stem and progenitor cells

Putative Signals of Generalist Plant Species Adaptation to Local Pollinator Communities and Abiotic Factors


GluonTS - Probabilistic Time Series Modeling in Python

High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes

Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided
  Learning Process

DynaConF: Dynamic Forecasting of Non-Stationary Time-Series

Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics

VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting

The Rise of Diffusion Models in Time-Series Forecasting


Ristretto: Caffe-based approximation of convolutional neural networks.

Hardware-oriented Approximation of Convolutional Neural Networks

Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks

Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks

Learning Sparse Low-Precision Neural Networks With Learnable Regularization

SqueezeJet: High-Level Synthesis Accelerator Design for Deep Convolutional Neural Networks


Openai Gym with Dart support

OpenAI Gym

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Learning Fast Adaptation With Meta Strategy Optimization

Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms

Expanding Motor Skills through Relay Neural Networks


UNSUPPORTED Fork of OpenSSL 1.1.1 that includes prototype quantum-resistant algorithms and ciphersuites based on liboqs PLEASE SWITCH TO OQS-Provider for OpenSSL 3

Secure IoT in the Era of Quantum Computers—Where Are the Bottlenecks?

Resilience Optimization of Post-Quantum Cryptography Key Encapsulation Algorithms


End-to-End Speech Processing Toolkit

Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units

BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model

Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data

BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder


Caltech UCSD Binary Annotation Model (CUBAM)

Near-Optimally Teaching the Crowd to Classify

OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking

Accurate inference of crowdsourcing properties when using efficient allocation strategies

Efficient crowdsourcing of crowd-generated microtasks


An easy-to-use for large scale recommendation algorithms.

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

Deep Interest Network for Click-Through Rate Prediction

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

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

Learning Tree-based Deep Model for Recommender Systems

Deep Bayesian Multi-Target Learning for Recommender Systems

EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systems


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


code for G2LTraj

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting

It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction


CURL: Contrastive Unsupervised Representations for Reinforcement Learning

When to use parametric models in reinforcement learning?

Masked Contrastive Representation Learning for Reinforcement Learning

Learning Representations for Pixel-based Control: What Matters and Why?

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning

Learning State Representations from Random Deep Action-conditional Predictions


Overcoming catastrophic forgetting with hard attention to the task

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

Continual learning with hypernetworks

Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization

Generalized Variational Continual Learning

Bayesian Structure Adaptation for Continual Learning

Continual Learning Based on OOD Detection and Task Masking

Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis

Task Relation-aware Continual User Representation Learning

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining


OLAPH: Improving Factuality in Biomedical Long-form Question Answering

Large Language Models Encode Clinical Knowledge

Large language model validity via enhanced conformal prediction methods


Tackling Climate Change with Machine Learning

Sequence-to-point learning with neural networks for nonintrusive load monitoring

Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network


OpenBA-V2: 3B LLM (Large Language Model) with T5 architecture, utilizing model pruning technique and continuing pretraining from OpenBA-15B.

UL2: Unifying Language Learning Paradigms

Rethinking Negative Instances for Generative Named Entity Recognition

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark


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

Origin and adaptation to high altitude of Tibetan semi-wild wheat

Organization and evolution of transposable elements along the bread wheat chromosome 3B

The genome and gene editing system of sea barleygrass provide a novel platform for cereal domestication and stress tolerance studies

Hijacking a rapid and scalable metagenomic method reveals subgenome dynamics and evolution in polyploid plants


Global dominance of tectonics over climate in shaping river longitudinal profiles

3‐D Modeling of Vertical Gravity Gradients and the Delimitation of Tectonic Boundaries: The Caribbean Oceanic Domain as a Case Study

Higher than present global mean sea level recorded by an Early Pliocene intertidal unit in Patagonia (Argentina)

Flexible spatio-temporal Hawkes process models for earthquake occurrences

Landslides triggered by the 2015 Mw 6.0 Sabah (Malaysia) earthquake: inventory and ESI-07 intensity assignment

Natural hazards and earth system sciences

An Early Pliocene relative sea level record from Patagonia (Argentina)

Childcare Center Evacuation to Vertical Shelters in a Nankai Trough Tsunami: Models to Predict and Mitigate Risk


DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach

Partial Relaxed Optimal Transport for Denoised Recommendation

Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering

Dual-embedding based Neural Collaborative Filtering for Recommender Systems

One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations


A walkthrough of how to prune keras models, using both weight-pruning and unit/neuron-pruning.

Pruning Filters for Efficient ConvNets

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Pruning Convolutional Neural Networks for Resource Efficient Inference

Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning


TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020)  https://doi.org/10.1093/bioinformatics/btaa524

TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

Pretraining model for biological sequence data

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for
  Drug-Target Interaction

DrugRepoBank: a comprehensive database and discovery platform for accelerating drug repositioning


Privacy-preserving Voice Analysis via Disentangled Representations

Paralinguistic Privacy Protection at the Edge

Configurable Privacy-Preserving Automatic Speech Recognition

A Tandem Framework Balancing Privacy and Security for Voice User Interfaces


Uncertainty Aware Semi-Supervised Learning on Graph Data

Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation

Learning on Graphs with Out-of-Distribution Nodes

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Multitask Active Learning for Graph Anomaly Detection


[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".

Text and Code Embeddings by Contrastive Pre-Training

Large Dual Encoders Are Generalizable Retrievers

GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval


Event tracking on websites

Learning Efficient Representations of Mouse Movements to Predict User Attention

My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking

Ktisis at Cyprus University of Technology (Cyprus University of Technology)

A Price-per-attention Auction Scheme Using Mouse Cursor Information

ACM transactions on office information systems

The Attentive Cursor Dataset


Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

Neural Combinatorial Optimization with Reinforcement Learning

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Learning the travelling salesperson problem requires rethinking generalization

Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks

Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure


Tensorflow Implementation of Adversarial Attack to Capsule Networks

Adversarial examples in the physical world

CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks

An Evasion Attack against Stacked Capsule Autoencoder

Towards robust stacked capsule autoencoder with hybrid adversarial training


Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

RoFormer: Enhanced Transformer with Rotary Position Embedding

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models


Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"

What Makes Graph Neural Networks Miscalibrated?

Beyond In-Domain Scenarios: Robust Density-Aware Calibration

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift


Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++

Deep Learning for Deepfakes Creation and Detection: A Survey

AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"

AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs

IEEE transactions on pattern analysis and machine intelligence

A Review of Image Processing Techniques for Deepfakes


Language-agnostic BERT Sentence Embedding (LaBSE)

Claim Matching Beyond English to Scale Global Fact-Checking

Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages

Multilingual Text Classification for Dravidian Languages

FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection


data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20

Fairness in Recommendation: Foundations, Methods, and Applications

Learning Robust Recommenders through Cross-Model Agreement

Ensuring User-side Fairness in Dynamic Recommender Systems

Label Denoising through Cross-Model Agreement


A library for reinforcement learning research

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Addressing Function Approximation Error in Actor-Critic Methods

Soft Actor-Critic Algorithms and Applications

Batch Policy Learning under Constraints


A simple Python package to calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.


audioLIME: Listenable Explanations Using Source Separation

Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities

Towards Musically Meaningful Explanations Using Source Separation


Korean Parallel Corpus

Natural Language Understanding with Distributed Representation

UPC: An Open Word-Sense Annotated Parallel Corpora for Machine Translation Study

Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition

Meeting of the Association for Computational Linguistics


Naver sentiment movie corpus

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

Zero-shot cross-lingual transfer language selection using linguistic similarity

Evaluating morphological typology in zero-shot cross-lingual transfer

A Model of Cross-Lingual Knowledge-Grounded Response Generation for Open-Domain Dialogue Systems

Findings of the Association for Computational Linguistics: EMNLP 2021

KOBEST: Korean Balanced Evaluation of Significant Tasks

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

Jamo Pair Encoding: Subcharacter Representation-based Extreme Korean Vocabulary Compression for Efficient Subword Tokenization


Code for "Label-Consistent Backdoor Attacks"

Label-Consistent Backdoor Attacks

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics

Training with More Confidence: Mitigating Injected and Natural Backdoors During Training

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork

Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks

PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection


Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)

Chain-of-Skills: A Configurable Model for Open-domain Question Answering

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge


Data for evaluating gender bias in coreference resolution systems.

Gender Bias in Coreference Resolution

Algorithmic fairness datasets: the story so far

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Inseq: An Interpretability Toolkit for Sequence Generation Models

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies


Official implementation of "Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery", ICRA 2023.

End-to-End Object Detection with Transformers

VisualBERT: A Simple and Performant Baseline for Vision and Language

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery


Nethack Learning Environment Wrapper for Language Interface

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors

Selective Perception: Learning Concise State Descriptions for Language Model Actors

North American Chapter of the Association for Computational Linguistics


Toolbox for large scale subspace clustering

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

Unsupervised Manifold Linearizing and Clustering


go-cfr implements several forms of Counter Factual Regret minimization in Golang

Deep Counterfactual Regret Minimization

Solving Imperfect-Information Games via Discounted Regret Minimization

Single Deep Counterfactual Regret Minimization


BiSUNA framework specialized to compile for the Xilinx Alveo U50

Preliminary study of applied binary neural networks for neural cryptography

Genetic and Evolutionary Computation Conference

Using Neuroevolved Binary Neural Networks to solve reinforcement learning environments

Asia Pacific Conference on Circuits and Systems

Evolved Binary Neural Networks Through Harnessing FPGA Capabilities

International Conference on Field-Programmable Technology

FPGA deployment of neuroevolved Binary Neural Networks

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)


Imitation Learning via Off-Policy Distribution Matching

Off-Policy Imitation Learning from Observations

A Coupled Flow Approach to Imitation Learning

DiffAIL: Diffusion Adversarial Imitation Learning


Prompt-learning methods used BERT4Keras (PET, EFL and NSP-BERT), both for Chinese and English.

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Entailment as Few-Shot Learner

NSP-BERT: A Prompt-based Few-Shot Learner through an Original Pre-training Task —— Next Sentence Prediction


Data sets for multi-view learning.

Multi-View Multiple Clustering

Learning Autoencoders with Relational Regularization

Identifying and ranking potential driver genes of Alzheimer’s disease using multiview evidence aggregation

Multi-view Data Visualisation via Manifold Learning

Hierarchical Optimal Transport for Robust Multi-View Learning

An Ensemble and Multi-View Clustering Method Based on Kolmogorov Complexity

Joint Multi-View Collaborative Clustering

IEEE International Joint Conference on Neural Network

S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data


Hydrogen Infrastructure Model for the analysis of spatially resolved hydrogen infrastructure pathways


A Literature Study of Embeddings on Source Code

A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis

Inter-BIN: Interaction-Based Cross-Architecture IoT Binary Similarity Comparison


Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"

Visual Classification via Description from Large Language Models

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models


Colorgorical: Creating discriminable and preferable color palettes for information visualization

IEEE transactions on visualization and computer graphics

Color naming models for color selection, image editing and palette design

International Conference on Human Factors in Computing Systems

Measuring the Separability of Shape, Size, and Color in Scatterplots


Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities

Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images

Detection of False Positive and False Negative Samples in Semantic Segmentation


A rewrite of hanabi-bot in Scala

Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings

Instructive artificial intelligence (AI) for human training, assistance, and explainability

Reinforcement Learning on Human Decision Models for Uniquely Collaborative AI Teammates


Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Fixing Data Augmentation to Improve Adversarial Robustness

International Conference on Machine Learning

Efficient and Effective Augmentation Strategy for Adversarial Training

Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning

IEEE Transactions on Information Forensics and Security

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems


Regression datasets from the UCI repository with standardized test-train splits.

Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)

DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks

Near-Interpolators: Rapid Norm Growth and the Trade-Off between
  Interpolation and Generalization

Quadruply Stochastic Gaussian Processes


Collection and Implementation of Mobile-based Vision Transformer in Pytorch

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Separable Self-attention for Mobile Vision Transformers

MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features


We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.

ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining

Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

READ: Aggregating Reconstruction Error into Out-of-distribution Detection

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection


PyTorch Implementation of Hamilton-Jacobi DQN

Continuous control with deep reinforcement learning

Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls


Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems


PubMed 200k RCT dataset: a large dataset for sequential sentence classification.

PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

Neural Networks for Joint Sentence Classification in Medical Paper Abstracts


Explaining NLP Models via Minimal Contrastive Editing (MiCE)

Let the CAT out of the bag: Contrastive Attributed explanations for Text

Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors


Potential Field Source Surface model in a spherical shell, using finite differences.

Magnetic Connectivity of the Ecliptic Plane within 0.5 au: Potential Field Source Surface Modeling of the First Parker Solar Probe Encounter

The Astrophysical Journal Supplement Series

Magnetic Structures at the Boundary of the Closed Corona: Interpretation of S-Web Arcs

Prediction of the Sun’s Coronal Magnetic Field and Forward-modeled Polarization Characteristics for the 2019 July 2 Total Solar Eclipse

Small-scale Turbulent Motion of the Plasma in a Solar Filament as the Precursor of Eruption


Image Captioning: Implementing the Neural Image Caption Generator

Show and Tell: A Neural Image Caption Generator

Deep Visual-Semantic Alignments for Generating Image Descriptions

Where to put the image in an image caption generator


Code for EMNLP 2022 main conference paper "Information-Transport-based Policy for Simultaneous Translation"

End-to-End Simultaneous Speech Translation with Differentiable Segmentation

Better Simultaneous Translation with Monotonic Knowledge Distillation

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Enhanced Simultaneous Machine Translation with Word-level Policies


Neural likelihood-free methods in PyTorch.

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Automatic Posterior Transformation for Likelihood-Free Inference

SBI -- A toolkit for simulation-based inference

Likelihood-free MCMC with Amortized Approximate Ratio Estimators

On Contrastive Learning for Likelihood-free Inference


Knowledge Distillation Toolkit

Distilling the Knowledge in a Neural Network

FitNets: Hints for Thin Deep Nets

Deep Mutual Learning

Relational Knowledge Distillation

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


An easy-to-use library to linguistically compare one sentence and its words to another, in the same language or a different one. For instance useful for comparing a translation with the original text, to find differences and similarities between two different translations, or to see how a machine translation differs from a reference translation.

Word Alignment by Fine-tuning Embeddings on Parallel Corpora

Gutenberg Goes Neural: Comparing Features of Dutch Human Translations with Raw Neural Machine Translation Outputs in a Corpus of English Literary Classics

Metrics of Syntactic Equivalence to Assess Translation Difficulty

Comparing the Effect of Product-Based Metrics on the Translation Process


A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

Co-regularized Alignment for Unsupervised Domain Adaptation

Virtual Mixup Training for Unsupervised Domain Adaptation


[ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"

Adversarial Self-Supervised Contrastive Learning

When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?


Implementation for the paper "Unified Multimodal Model with Unlikelihood Training for Visual Dialog"

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Proceedings of the 30th ACM International Conference on Multimedia


Segment cuboid-shaped objects (e.g. parcels) without any task specific training data. Code from ICMLA 2020 paper "Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection".

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image


Estimate distances to stars as done for the Gaia-DR2 distance catalogue

Estimating Distance from Parallaxes. IV. Distances to 1.33 Billion Stars in Gaia Data Release 2

Photometric and Kinematic Study of the Open Clusters SAI 44 and SAI 45

Quiescent X-ray variability in the neutron star Be/X-ray transient GRO J1750−27


An open-source package of causal feature selection and causal (Bayesian network) structure learning (Matlab version)

Towards Efficient Local Causal Structure Learning

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning

Local Causal Structure Learning in the Presence of Latent Variables


Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding

Unsupervised Differentiable Multi-aspect Network Embedding

Multi-Facet Recommender Networks with Spherical Optimization