An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

Mixed-Integer Optimization with Constraint Learning

OMLT: Optimization & Machine Learning Toolkit

Optimization with Constraint Learning: A Framework and Survey

Counterfactual Explanations Using Optimization With Constraint Learning

On data-driven chance constraint learning for mixed-integer optimization problems


A quantum circuit optimizer based on sum-over-paths representations

Reducing the number of non-Clifford gates in quantum circuits

An Efficient Quantum Compiler that reduces T count

T-Count Optimization and Reed–Muller Codes

Quantum Theory from Principles, Quantum Software from Diagrams


petitRADTRANS: a Python radiative transfer package for exoplanet characterization and retrieval.

Exoplanet spectroscopy and photometry with the Twinkle space telescope

Stellar impact on disequilibrium chemistry and observed spectra of hot Jupiter atmospheres

Remote sensing of exoplanetary atmospheres with ground-based high resolution near-infrared spectroscopy

Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview

Frontiers in Astronomy and Space Sciences


TEASER: Fast and Certifiable Point Cloud Registration

Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

International Conference on Robotics and Automation

Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization

One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers

Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

Optimal and Robust Category-Level Perception: Object Pose and Shape Estimation From 2-D and 3-D Semantic Keypoints

Certifiable Outlier-Robust Geometric Perception: Exact Semidefinite Relaxations and Scalable Global Optimization.


Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

TransMix: Attend to Mix for Vision Transformers

A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective

SAGE: Saliency-Guided Mixup with Optimal Rearrangements

ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification

ContextMix: A context-aware data augmentation method for industrial visual inspection systems

Engineering applications of artificial intelligence


Alignment and annotation for comparable documents.

Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs

International Joint Conference on Natural Language Processing

Parallel Text Alignment and Monolingual Parallel Corpus Creation from Philosophical Texts for Text Simplification

North American Chapter of the Association for Computational Linguistics


Distributed memory, GPU accelerated Fock construction for hybrid, Gaussian basis density functional theory

Memory-Efficient Recursive Evaluation of 3-Center Gaussian Integrals

High-performance evaluation of high angular momentum 4-center Gaussian integrals on modern accelerated processors

3-center and 4-center 2-particle Gaussian AO integrals on modern accelerated processors


This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.

Holistic Evaluation of Language Models

The NarrativeQA Reading Comprehension Challenge

Natural Language Processing Advancements By Deep Learning: A Survey

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning


Source code for "Oscillators that sync and swarm" paper -- https://www.nature.com/articles/s41467-017-01190-3

Collective behaviour of swarmalators on a 1D ring

Pinning in a system of swarmalators

Sync and swarm: solvable model of non-identical swarmalators

Solvable model of driven matter with pinning

A solvable two-dimensional swarmalator model


PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Large-Scale Wasserstein Gradient Flows

Wasserstein Iterative Networks for Barycenter Estimation


A multi-reference network annotation tool to support omics analysis

HMDB 4.0: the human metabolome database for 2018

The MetaCyc database of metabolic pathways and enzymes - a 2019 update

UniFuncNet: a flexible network annotation framework


Code for the paper "Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering" (AAAI 2021)

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering

MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset

Are Visual-Linguistic Models Commonsense Knowledge Bases?

International Conference on Computational Linguistics


A public repository for the code L-PICOLA

COLA with scale-dependent growth: applications to screened modified gravity models

Journal of Cosmology and Astroparticle Physics

COLA with massive neutrinos

Euclid: The search for primordial features

HAL (Le Centre pour la Communication Scientifique Directe)

The large-scale structure from non-Gaussian primordial perturbations

Monthly Notices of the Royal Astronomical Society

On the primordial origin of the smoothing excess in the Planck temperature power spectrum in light of LSS data


Pythonic spectral proper orthogonal decomposition

Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis

Guide to Spectral Proper Orthogonal Decomposition

Frequency–time analysis, low-rank reconstruction and denoising of turbulent flows using SPOD

An efficient streaming algorithm for spectral proper orthogonal decomposition

Spectral proper orthogonal decomposition of compressor tip leakage flow


Papers about Root Cause Analysis in MicroService Systems. Reference to Paper Notes: https://dreamhomes.top/

Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices

DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization

PROCEEDINGS OF THE 28TH ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON SOFTWARE TESTING AND ANALYSIS (ISSTA '19)

Latent error prediction and fault localization for microservice applications by learning from system trace logs

Root cause detection in a service-oriented architecture

Measurement and Modeling of Computer Systems

Microscope: Pinpoint Performance Issues with Causal Graphs in Micro-service Environments

AutoMAP: Diagnose Your Microservice-based Web Applications Automatically

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations

Performance Monitoring and Root Cause Analysis for Cloud-hosted Web Applications

Graph-based trace analysis for microservice architecture understanding and problem diagnosis

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Delta Debugging Microservice Systems

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)


A factor analysis package

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

Co-expression analysis reveals interpretable gene modules controlled by trans-acting genetic variants

Optimizing expression quantitative trait locus mapping workflows for single-cell studies

Proteogenomic analysis of lung adenocarcinoma reveals tumor heterogeneity, survival determinants, and therapeutically relevant pathways

Genetic architecture of gene regulation in Indonesian populations identifies QTLs associated with global and local ancestries

Genetic determinants of blood gene expression and splicing and their contribution to molecular phenotypes and health outcomes

A computational approach for identification of core modules from a co-expression network and GWAS data

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

bioRxiv : the preprint server for biology


Tools/resources for journalism, media, communication, computational social science

Quantitative analysis of large amounts of journalistic texts using topic modelling

Data ex Machina: Introduction to Big Data

Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges

Taking stock of the toolkit

Teaching the Computer to Code Frames in News: Comparing Two Supervised Machine Learning Approaches to Frame Analysis

Automated Text Classification of News Articles: A Practical Guide


Cooperative game level editor.

Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators

Co-Creative Level Design via Machine Learning

Explainability via Responsibility


Statistical method for measuring modified GW propagation and Hubble parameter with dark sirens and galaxy catalogues

Cosmology with the Laser Interferometer Space Antenna

Cosmology with LIGO/Virgo dark sirens: Hubble parameter and modified gravitational wave propagation

ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous, and incomplete observations


Official implementation of the SPL paper "One-class Learning Towards Synthetic Voice Spoofing Detection"

One-Class Learning Towards Synthetic Voice Spoofing Detection

UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021

An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

SAMO: Speaker Attractor Multi-Center One-Class Learning For Voice Anti-Spoofing

Detecting Voice Cloning Attacks via Timbre Watermarking

One-class learning towards generalized voice spoofing detection

Impact of Channel Variation on One-Class Learning for Spoof Detection


Mode collapse example of GANs in 2D (PyTorch).

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

Geometric GAN

Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples


NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets

CryptoNN: Training Neural Networks over Encrypted Data

Privacy-Preserving Machine Learning: Methods, Challenges and Directions

NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets


LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

CEIL: Generalized Contextual Imitation Learning

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

Theoretical Analysis of Offline Imitation With Supplementary Dataset


Official PyTorch implementation of the paper "Generating Novel Scene Compositions from Single Images and Videos"

Learning to Generate Novel Scene Compositions from Single Images and Videos

One-Shot Synthesis of Images and Segmentation Masks


A Python tool to make interactive Corner Plots based on XSPEC MCMC chains saved to FITS files.

vKompth: a variable Comptonization model for low-frequency quasi-periodic oscillations in black hole X-ray binaries

Monthly notices of the Royal Astronomical Society

Dual-corona Comptonization model for the type-b quasi-periodic oscillations in GX 339-4

The X-ray corona in the black-hole binary GRO J1655--40 from the properties of non-harmonically related quasi-periodic oscillations

Studies on the soft intermediate state X-ray flare of MAXI J1535-571 during its 2017 outburst


This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

Fake News Detection on Social Media: A Data Mining Perspective

CSI: A Hybrid Deep Model for Fake News Detection

International Conference on Information and Knowledge Management

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

Detection and Resolution of Rumours in Social Media: A Survey

Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Beyond News Contents: The Role of Social Context for Fake News Detection

MVAE: Multimodal Variational Autoencoder for Fake News Detection

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

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

Rumor Detection with Hierarchical Social Attention Network

Detect Rumor and Stance Jointly by Neural Multi-task Learning


Workshop Home Page for Benchmarking: Past, Present and Future

Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review

Emerging trends: A gentle introduction to fine-tuning

Emerging Trends: SOTA-Chasing

Benchmarking: Past, Present and Future

Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future

Editorial: Bias, Subjectivity and Perspectives in Natural Language Processing


Distributed and Localized Model Predictive Control. Part I: Synthesis and Implementation

SLSpy: Python-Based System-Level Controller Synthesis Framework

Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond

Distributed and Localized Model Predictive Control—Part II: Theoretical Guarantees

Distributed Robust Control for Systems with Structured Uncertainties

Robust Distributed and Localized Model Predictive Control

Effective GPU Parallelization of Distributed and Localized Model Predictive Control

Global Performance Guarantees for Localized Model Predictive Control


Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)

Developmental trajectories of cortical thickness by functional brain network: The roles of pubertal timing and socioeconomic status

Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations

Protocol for activity flow mapping of neurocognitive computations using the Brain Activity Flow Toolbox

Functional dysconnectivity of visual and somatomotor networks yields a simple and robust biomarker for psychosis


Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

MixMatch: A Holistic Approach to Semi-Supervised Learning

Interpolation Consistency Training for Semi-Supervised Learning

Class-Imbalanced Semi-Supervised Learning

Robust Semi-Supervised Learning with Out of Distribution Data.

Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data


Easy-to-use and fast pipeline to search for pulsars

Eight new millisecond pulsars from the first MeerKAT globular cluster census

TRAPUM discovery of 13 new pulsars in NGC 1851 using MeerKAT

Four pulsar discoveries in NGC 6624 by TRAPUM using MeerKAT

Upgraded GMRT survey for pulsars in globular clusters

Extending the Z 2 n and H Statistics to Generic Pulsed Profiles

Radio Detection of an Elusive Millisecond Pulsar in the Globular Cluster NGC 6397

MeerKAT discovery of 13 new pulsars in Omega Centauri

Discoveries and timing of pulsars in NGC 6440

Discovery of 37 new pulsars through GPU-accelerated reprocessing of archival data of the Parkes multibeam pulsar survey

Discoveries and timing of pulsars in M62


A Sequence Learning Approach to Detecting Vulnerabilities

Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Security Threats

Smart Contract Vulnerability Detection Technique: A Survey

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


All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

Quantum Generative Adversarial Learning

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images

Medical Image Computing and Computer-Assisted Intervention

Reinforced Adversarial Neural Computer for de Novo Molecular Design

Journal of chemical information and modeling

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation

Generating synthetic CTs from magnetic resonance images using generative adversarial networks

Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters

Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery


Mitohelper: a mitochondrial reference sequence analysis tool for fish eDNA studies


RL Algorithms for Visual Continuous Control

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reinforcement Learning with Augmented Data

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Decoupling Representation Learning from Reinforcement Learning


Creative Commons Attribution 4.0 International

Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.


Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Grammatical Error Correction with Contrastive Learning in Low Error Density Domains

Findings of the Association for Computational Linguistics: EMNLP 2021

RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans


Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks" (accepted by IJCAI 2020)

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Wide Residual Networks

ICLR Reproducibility Challenge Report (Padam : Closing The Generalization Gap Of Adaptive Gradient Methods in Training Deep Neural Networks)


Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

Topological Autoencoders

Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs

Geometric Autoencoders -- What You See is What You Decode


Source code for OpenCOVID, an individual-based model of SARS-CoV-2 transmission and COVID-19 disease dynamics.

Impact of vaccination and non-pharmaceutical interventions on SARS-CoV-2 dynamics in Switzerland

COVID-19 Vaccine Booster Strategies in Light of Emerging Viral Variants: Frequency, Timing, and Target Groups

The potential impact of Omicron and future variants of concern on SARS-CoV-2 transmission dynamics and public health burden: a modelling study

Efficacy thresholds and target populations for antiviral COVID-19 treatments to save lives and costs: a modelling study


Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Attentive Representation Learning with Adversarial Training for Short Text Clustering

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts


A collection of mechanised proofs

An Effect System for Algebraic Effects and Handlers

Inferring Algebraic Effects

No value restriction is needed for algebraic effects and handlers

Explicit effect subtyping


The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.

Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams

Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach

IEEE Transactions on Knowledge and Data Engineering

Concept Drift Adaptation with Incremental–Decremental SVM


Predictive kmer models for development use

A nanopore interface for higher bandwidth DNA computing

Uncalled4 improves nanopore DNA and RNA modification detection via fast and accurate signal alignment

Simulation of nanopore sequencing signal data with tunable parameters

Icarust, a real-time simulator for Oxford Nanopore adaptive sampling

SimReadUntil for benchmarking selective sequencing algorithms on ONT devices


Fast and flexible code for solving the inverse Ising/Potts inference problem

Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data

ACE: adaptive cluster expansion for maximum entropy graphical model inference

Adaptive Cluster Expansion for the Inverse Ising Problem: Convergence, Algorithm and Tests

Ising models for neural activity inferred via selective cluster expansion: structural and coding properties

Journal of Statistical Mechanics: Theory and Experiment

Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticity

Deconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape

Inference of compressed Potts graphical models

Direct coupling analysis of epistasis in allosteric materials

Emergence of time persistence in a data-driven neural network model

Prediction of Structures and Interactions from Genome Information

INTEGRATIVE STRUCTURAL BIOLOGY WITH HYBRID METHODS


Reference transcriptome indices build from kallisto for popular organisms

Gut microbial trimethylamine is elevated in alcohol-associated hepatitis and contributes to ethanol-induced liver injury in mice

Human Endogenous Retrovirus Expression Is Associated with Head and Neck Cancer and Differential Survival

A single-cell transcriptional gradient in human cutaneous memory T cells restricts Th17/Tc17 identity

Zenodo (CERN European Organization for Nuclear Research)

Identification of a Transcriptomic Prognostic Signature by Machine Learning Using a Combination of Small Cohorts of Prostate Cancer

GSK3α Regulates Temporally Dynamic Changes in Ribosomal Proteins upon Amino Acid Starvation in Cancer Cells

International journal of molecular sciences

Venetoclax durable response in adult relapsed/refractory Philadelphia-negative acute lymphoblastic leukemia with JAK/STAT pathway alterations

Frontiers in cell and developmental biology


How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?

Generative power of a protein language model trained on multiple sequence alignments

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

In vivo functional phenotypes from a computational epistatic model of evolution


RL Dresden Algorithm Suite

Spatial-temporal recurrent reinforcement learning for autonomous ships

Robust Path Following on Rivers Using Bootstrapped Reinforcement Learning

2-Level Reinforcement Learning for Ships on Inland Waterways

Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing


Machine learning experiments for CheckMyBlob

Automatic recognition of ligands in electron density by machine learning


On Calibration of Modern Neural Networks

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance

Linear Connectivity Reveals Generalization Strategies


The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

GAIA: a benchmark for General AI Assistants

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Benchmark Early and Red Team Often: A Framework for Assessing and
  Managing Dual-Use Hazards of AI Foundation Models


A package for dynamically modeling broad-line regions in active galactic nucleus, analyzing reverberation-mapping and spectro-astrometric data, and measuring the central black hole mass

Kinematics of the Broad-line Region of 3C 273 from a 10 yr Reverberation Mapping Campaign

Supermassive Black Holes with High Accretion Rates in Active Galactic Nuclei. VIII. Structure of the Broad-line Region and Mass of the Central Black Hole in Mrk 142

Geometric Distances of Quasars Measured by Spectroastrometry and Reverberation Mapping: Monte Carlo Simulations

The Astrophysical Journal Supplement Series

Spectroastrometric Reverberation Mapping of Broad-line Regions

Spectroastrometry and Reverberation Mapping (SARM) of Active Galactic
  Nuclei. I. The Hβ Broad-line Region Structure and Black Hole Mass of
  Five Quasars


Table of Multiplexed Assay of Variant Effect (MAVE) studies

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding

bioRxiv : the preprint server for biology

Accurate classification of BRCA1 variants with saturation genome editing

Rapid dissection and model-based optimization of inducible enhancers in human cells using a massively parallel reporter assay

Local fitness landscape of the green fluorescent protein

Massively parallel functional dissection of mammalian enhancers in vivo

High-resolution mapping of protein sequence-function relationships

Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters

The spatial architecture of protein function and adaptation

Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay

Computational design of ligand-binding proteins with high affinity and selectivity


Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Few-Shot Generative Conversational Query Rewriting

TREC CAsT 2019: The Conversational Assistance Track Overview

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Contrastive Multi-document Question Generation

Query Reformulation using Query History for Passage Retrieval in Conversational Search

Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search

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


一份中文综述文章列表（自然语言处理&机器学习）

A Survey on Knowledge Graph-Based Recommender Systems

Knowledge Graph Construction Techniques

Survey on Techniques, Applications and Security of Machine Learning Interpretability

Research Review of Knowledge Graph and Its Application in Medical Domain

Text Emotion Analysis: A Survey

A Survey on Sentiment Classification

Network representation learning: an overview

Recent Advances in Neural Machine Translation

Recent Advances in Bayesian Machine Learning

Survey on Automatic Text Summarization


Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP".

TARGET: Template-Transferable Backdoor Attack Against Prompt-based NLP Models via GPT4

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept


Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"

Towards Seamless Adaptation of Pre-trained Models for Visual Place
  Recognition

CricaVPR: Cross-image Correlation-aware Representation Learning for
  Visual Place Recognition


Clustering and Predictions with Multi-Task Gaussian Processes

MAGMA: Inference and Prediction with Multi-Task Gaussian Processes

Cluster-Specific Predictions with Multi-Task Gaussian Processes


UniGen approximately uniform sampler

Lifted Algorithms for Symmetric Weighted First-Order Model Sampling

Denoising Diffusion for Sampling SAT Solutions

Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma


The amazing will normalize non-standard Finnish/Swedish and dialectalize standard Finnish!

Dialect Text Normalization to Normative Standard Finnish

Empirical Methods in Natural Language Processing

Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity

Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography

Normalization of Different Swedish Dialects Spoken in Finland

Proceedings of the 4th ACM SIGSPATIAL Workshop on Geospatial Humanities

The Current State of Finnish NLP

Murreviikko - A Dialectologically Annotated and Normalized Dataset of Finnish Tweets

Workshop on NLP for Similar Languages, Varieties and Dialects

Help from the Neighbors: Estonian Dialect Normalization Using a Finnish Dialect Generator

Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing


Short tutorial supplementing the Neural Networks and Deep Learning chapter from Artificial Intelligence in Surgery: An AI Primer for Surgical Practice designed to offer hands-on experience with artificial neural networks to surgeons with little to no coding experience.

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos

Artificial Intelligence in Surgery: Neural Networks and Deep Learning


This repository contains several sets of many-body codes developed by Morten Hjorth-Jensen and collaborators. The codes follow the GNU  GPL v.3 public license settings.

Ground and excited states of doubly open-shell nuclei from ab initio valence-space Hamiltonians

Doubly magic nuclei from lattice QCD forces at M PS = 469 MeV / c 2

Realistic calculations for c-coefficients of the isobaric mass multiplet equation in 1 p 0 f shell nuclei

NuHamil : A numerical code to generate nuclear two- and three-body matrix elements from chiral effective field theory

Generalized seniority on a deformed single-particle basis

Application of the variational principle to a coherent-pair condensate: The BCS case

Recent Applications of Self-Consistent Green’s Function Theory to Nuclei

133In: A Rosetta Stone for decays of r-process nuclei

Computer code for applying the variational principle to a coherent-pair condensate: The BCS case


Critical Assessment of Intrinsic Disorder

Intrinsic protein disorder and conditional folding in AlphaFoldDB

Protein science : a publication of the Protein Society

Critical assessment of protein intrinsic disorder prediction (CAID) ‐ Results of round 2

Proteins: Structure, Function, and Bioinformatics


Geom-GCN: Geometric Graph Convolutional Networks

Adaptive Universal Generalized PageRank Graph Neural Network

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

Simplifying approach to Node Classification in Graph Neural Networks

Improving Graph Neural Networks with Simple Architecture Design

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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

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

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Deformable Graph Convolutional Networks


Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/

The unequal effects of the health-economy tradeoff during the COVID-19 pandemic

The Differential Impact of Reopening States With and Without COVID-19 Face Mask Mandates on County-Level Consumer Spending

Public health reports (Washington, D.C. : 1974)

Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States


Data and code for the paper COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic.

Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks

MultiVerS: Improving scientific claim verification with weak supervision and full-document context


Force Fields

Combining Simulations and Solution Experiments as a Paradigm for RNA Force Field Refinement

Journal of chemical theory and computation

Free Energy Landscape of GAGA and UUCG RNA Tetraloops

The journal of physical chemistry letters

Unravelling Mg^2+-RNA binding with atomistic molecular dynamics

Elastic network models for RNA: a comparative assessment with molecular dynamics and SHAPE experiments

RNA folding pathways in stop motion

The mechanism of RNA base fraying: Molecular dynamics simulations analyzed with core-set Markov state models

Conformational Ensembles of Non-Coding Elements in the SARS-CoV-2 Genome from Molecular Dynamics Simulations

Conformational Ensemble of RNA Oligonucleotides from Reweighted Molecular Simulations


ICON Lab @ Bilkent University

Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery

Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI

Reconstruction by calibration over tensors for multi‐coil multi‐acquisition balanced SSFP imaging

Semi-Supervised Learning of Mutually Accelerated MRI Synthesis without Fully-Sampled Ground Truths

Automated Parameter Selection for Accelerated MRI Reconstruction via Low-Rank Modeling of Local k-Space Neighborhoods

Constrained Ellipse Fitting for Efficient Parameter Mapping With Phase-Cycled bSSFP MRI


Access and Analyze eBird Status and Trends Data


Scripts to preprocess training and test data and to run fast_align and giza

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms

Saliency-driven Word Alignment Interpretation for Neural Machine Translation

Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations

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

A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT

Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer

Mask-Align: Self-Supervised Neural Word Alignment

A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment

Meeting of the Association for Computational Linguistics

PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation

MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning

SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning.


This project aims to build upon existing MGTBench project, extending its functionalities with the option to import and evaluate the benchmark on custom datasets and with custom MGTD methods.

MGTBench: Benchmarking Machine-Generated Text Detection

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection

IMGTB: A Framework for Machine-Generated Text Detection Benchmarking

L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text?

International Workshop on Semantic Evaluation


An Easy-to-Use Wrapper for the Spectral Synthesis Code Synspec

The Extreme CNO-enhanced Composition of the Primitive Iron-poor Dwarf Star J0815+4729*

TLUSTY and SYNSPEC Users's Guide IV: Upgraded Versions 208 and 54

Opacity for realistic 3D MHD simulations of cool stellar atmospheres

The Shapes of Stellar Spectra

A Possible Surviving Companion of the SN Ia in the Galactic SNR G272.2-3.2

The updated BOSZ synthetic stellar spectral library


Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

Task-adaptive Neural Process for User Cold-Start Recommendation

A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps

ColdNAS: Search to Modulate for User Cold-Start Recommendation

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation


Database with information about Nuclear Power Plants worldwide.


Minimax Estimation of Conditional Moment Models

On Instrumental Variable Regression for Deep Offline Policy Evaluation

Instrumental Variables in Causal Inference and Machine Learning: A Survey


Deform meshes by reinforcement learning

Accelerating 3D Deep Learning with PyTorch3D

Mesh R-CNN

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

Modeling 3D Shapes by Reinforcement Learning


Particle-tracking code that models strong-field QED interactions

Advances in QED with intense background fields

Conceptual design report for the LUXE experiment

The European Physical Journal Special Topics

New physics searches with an optical dump at LUXE

Fully polarized nonlinear Breit-Wheeler pair production in pulsed plane waves

Pulse envelope effects in nonlinear Breit-Wheeler pair creation

Technical Design Report for the LUXE Experiment

Strong-field QED experiments using the BELLA PW laser dual beamlines

Studies of high-field QED with the LUXE experiment at the European XFEL

Classical Radiation Reaction in Red-Shifted Harmonics

LUXE: A new experiment to study non-perturbative QED in e^--laser and γ-laser collisions


Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)

Scaling provable adversarial defenses

projUNN: efficient method for training deep networks with unitary matrices

Large Norms of CNN Layers Do Not Hurt Adversarial Robustness

1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness


Machine Learning Augmented Branch and Bound for Mixed Integer Linear
  Programming

Progressively strengthening and tuning MIP solvers for reoptimization

An improved column-generation-based matheuristic for learning classification trees

The MIP Workshop 2023 Computational Competition on reoptimization


An experimental version of the BQ client which adds client-side encryption

SoK: Cryptographically Protected Database Search

Data Inference from Encrypted Databases: A Multi-dimensional Order-Preserving Matching Approach

Secure Parallel Processing of Big Data Using Order-Preserving Encryption on Google BigQuery

DiCE -- A Data Encryption Proxy for the Cloud


Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Understanding Abuse: A Typology of Abusive Language Detection Subtasks

Racial Bias in Hate Speech and Abusive Language Detection Datasets

Detecting and Monitoring Hate Speech in Twitter

Deep Learning Models for Multilingual Hate Speech Detection

Algorithmic fairness datasets: the story so far

Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism

To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection

MTTM: Metamorphic Testing for Textual Content Moderation Software

Prediction Uncertainty Estimation for Hate Speech Classification

Zenodo (CERN European Organization for Nuclear Research)


Popular ECG QRS detectors written in python

RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG

Robust deep learning pipeline for PVC beats localization

Technology and health care : official journal of the European Society for Engineering and Medicine

Generative Pre-Trained Transformer for Cardiac Abnormality Detection

Conditional Generation of Periodic Signals with Fourier-Based Decoder


Spatial Transcriptomics human DLPFC pilot study part of the spatialLIBD project

Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex

Protein interaction studies in human induced neurons indicate convergent biology underlying autism spectrum disorders

Performant web-based interactive visualization tool for spatially-resolved transcriptomics experiments

bioRxiv : the preprint server for biology

Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

Common mitochondrial deletions in RNA-Seq: evaluation of bulk, single-cell, and spatial transcriptomic datasets

MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks


Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

Scalable Recommendation with Poisson Factorization

LensKit for Python: Next-Generation Software for Recommender Systems Experiments

International Conference on Information and Knowledge Management

Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions

Proceedings of the 9th International Conference on Digital Public Health

Deep Determinantal Point Processes

Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations

Preventing Model Collapse in Gaussian Process Latent Variable Models


Systematic Analysis for Quantification of Expression

Meta-Analysis of RNA Sequencing Data of Arabidopsis and Rice under Hypoxia

Meta-Analysis of Oxidative Transcriptomes in Insects

Systematic Functional Annotation Workflow for Insects


An exoplanet transit, radial velocity, astrometry, and stellar fitting software package in IDL

EXOFASTv2: A public, generalized, publication-quality exoplanet modeling code

HD 202772A b: A Transiting Hot Jupiter around a Bright, Mildly Evolved Star in a Visual Binary Discovered by TESS

A super-Earth and a sub-Neptune orbiting the bright, quiet M3 dwarf TOI-1266

Precise Masses in the WASP-47 System

TESS hunt for young and maturing exoplanets (THYME). IV. Three small planets orbiting a 120 Myr old star in the pisces-eridanus stream

Transits of Known Planets Orbiting a Naked-eye Star

High-resolution detection of neutral oxygen and non-LTE effects in the atmosphere of KELT-9b

An enhanced slope in the transmission spectrum of the hot Jupiter WASP-104b

Monthly Notices of the Royal Astronomical Society

TOI 564 b and TOI 905 b: Grazing and Fully Transiting Hot Jupiters Discovered by TESS

Improved radius determinations for the transiting brown dwarf population in the era of Gaia and TESS


The NASA Eulerian Snow On Sea Ice Model (NESOSIM) v1.1

The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1.0: initial model development and analysis

Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection

NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2022


A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR

Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control

Quantifying and Mitigating Privacy Risks for Tabular Generative Models

SynDiffix: More accurate synthetic structured data


Tools for solar system dynamics and observations.

No Evidence for Orbital Clustering in the Extreme Trans-Neptunian Objects

The DECam Ecliptic Exploration Project (DEEP). V. The Absolute Magnitude Distribution of the Cold Classical Kuiper Belt

The DECam Ecliptic Exploration Project (DEEP). III. Survey Characterization and Simulation Methods

Photometric Properties of Jupiter Trojans Detected by the Dark Energy Survey


Code for computing tight guarantees for differential privacy

Numerical Composition of Differential Privacy

Computing Tight Differential Privacy Guarantees Using FFT

Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT

Differentially private cross-silo federated learning

Differentially Private Hamiltonian Monte Carlo


Audio Commons Audio Extractor

DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using Generative Adversarial Networks

Neural Percussive Synthesis Parameterised by High-Level Timbral Features

LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters

DrumGAN VST: A Plugin for Drum Sound Analysis/Synthesis With Autoencoding Generative Adversarial Networks


A fast safe reinforcement learning library in PyTorch

Datasets and Benchmarks for Offline Safe Reinforcement Learning

A Survey of Constraint Formulations in Safe Reinforcement Learning

Off-Policy Primal-Dual Safe Reinforcement Learning

Feasibility Consistent Representation Learning for Safe Reinforcement
  Learning


Code & short tutorial for modified multi-scale entropy analysis

Thalamocortical excitability modulation guides human perception under uncertainty

Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What’s signal irregularity got to do with it?

Boosts in brain signal variability track liberal shifts in decision bias

Boosting Brain Signal Variability Underlies Liberal Shifts in Decision Bias


Resources related to the Free Waveform Sequence (FWF)

The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE)

Constrained optimization of gradient waveforms for generalized diffusion encoding

Journal of magnetic resonance (San Diego, Calif. : 1997)

Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding

Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems

Extrapolation-Based References Improve Motion and Eddy-Current Correction of High B-Value DWI Data: Application in Parkinson’s Disease Dementia

Towards unconstrained compartment modeling in white matter using diffusion‐relaxation MRI with tensor‐valued diffusion encoding

Tensor-valued diffusion MRI differentiates cortex and white matter in malformations of cortical development associated with epilepsy

Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals

Motion‐compensated gradient waveforms for tensor‐valued diffusion encoding by constrained numerical optimization

Accuracy and precision in super-resolution MRI: Enabling spherical tensor diffusion encoding at ultra-high b-values and high resolution


Tutorials on the use of (Gaia) astrometry in astronomical data analysis or inference problems.

Multiwavelength Variability of BL Lacertae Measured with High Time Resolution

Chemical Abundance Signature of J0023+0307: A Second-generation Main-sequence Star with [Fe/H] <-6

Bow shocks, bow waves, and dust waves – III. Diagnostics

Monthly notices of the Royal Astronomical Society

Dust in the Wolf–Rayet nebula M 1-67

Solving the distance discrepancy for the open cluster NGC 2453. The planetary nebula NGC 2452 is not a cluster member


Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via System Level Synthesis, by C. Amo Alonso, S. J. Li, F. Yang, J. Anderson and N. Matni.

Distributed and Localized Model Predictive Control. Part I: Synthesis and Implementation

Data-driven Distributed and Localized Model Predictive Control

Distributed and Localized Model Predictive Control—Part II: Theoretical Guarantees


A macroscopic multivehicle tesbed and hardware-in-the-loop simulator for autonomous driving

The CAT Vehicle Testbed: A Simulator with Hardware in the Loop for Autonomous Vehicle Applications

Prototyping Vehicle Control Applications Using the CAT Vehicle Simulator

Autonomous Vehicle Calibration via Linear Optimization


This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia.

Convergence Analysis for Anderson Acceleration

Numerical methods for nonlinear equations

A Quasi–Monte Carlo Method With Krylov Linear Solvers for Multigroup Neutron Transport Simulations

Newton's Method in Three Precisions


Pytorch Implementation of Urban Flow Magnifier (UrbanFM), KDD-19

UrbanFM: Inferring Fine-Grained Urban Flows

Fine-Grained Urban Flow Inference

Road Network Guided Fine-Grained Urban Traffic Flow Inference

Spatiotemporal Implicit Neural Representation as a Generalized Traffic
  Data Learner


The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the possibility of applying machine learning and neural networks to detect and classify malicious domains.

Detecting DGA domains with recurrent neural networks and side information

Encrypted and covert DNS queries for botnets: Challenges and countermeasures

Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings

UMUDGA: A dataset for profiling algorithmically generated domain names in botnet detection

Intercepting Hail Hydra: Real-time detection of Algorithmically Generated Domains

Journal of Network and Computer Applications

Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms

A Compression-Based Method for Detecting Anomalies in Textual Data

A compression based framework for the detection of anomalies in heterogeneous data sources


Python 3 library for processing historical English

From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction

Recent Advances in Natural Language Processing

Revisiting NMT for Normalization of Early English Letters

North American Chapter of the Association for Computational Linguistics

Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling


Neural Coref Models

Learning Global Features for Coreference Resolution

Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

Optimizing Differentiable Relaxations of Coreference Evaluation Metrics


Official repository for the interface reconstruction library (IRL)

First moments of a polyhedron clipped by a paraboloid

Simulating interfacial flows: a farewell to planes


Simple model-fitting tools

Similarities and differences in spatial and non-spatial cognitive maps

The rational use of causal inference to guide reinforcement learning strengthens with age

Awareness drives changes in reward value which predict eating behavior change: Probing reinforcement learning using experience sampling from mobile mindfulness training for maladaptive eating

Computational optimization of associative learning experiments

The self and the Bayesian brain: Testing probabilistic models of body ownership through a self-localization task

Cortex; a journal devoted to the study of the nervous system and behavior


RBFOpt library for black-box optimization

RBFOpt: an open-source library for black-box optimization with costly function evaluations

Constrained Discrete Black-Box Optimization using Mixed-Integer Programming

On the implementation of a global optimization method for mixed-variable problems

Dynamical learning of a photonics quantum-state engineering process

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

Daylighting design optimization of symmetrical bilateral openings with internal blinds in tropical classrooms using RBFOpt algorithm

Building Simulation Conference proceedings


Testing the Ability of Language Models to Interpret Figurative Language

Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors

Metaphor Understanding Challenge Dataset for LLMs

ViPE: Visualise Pretty-much Everything


Create NNN primers tiling codons of a gene for codon mutagenesis

Mapping mutational effects along the evolutionary landscape of HIV envelope

A pseudovirus system enables deep mutational scanning of the full SARS-CoV-2 spike

Comprehensive mapping of adaptation of the avian influenza polymerase protein PB2 to humans

Globally defining the effects of mutations in a picornavirus capsid

Mapping the neutralizing specificity of human anti-HIV serum by deep mutational scanning

Deep mutagenesis scanning using whole trimeric SARS-CoV-2 spike highlights the importance of NTD-RBD interactions in determining spike phenotype

An RNA-based system to study hepatitis B virus replication and evaluate antivirals


Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016

ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

ADAGE analysis of publicly available gene expression data collections illuminates Pseudomonas aeruginosa-host interactions

Computationally Efficient Assembly of Pseudomonas aeruginosa Gene Expression Compendia

SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses

基因组蛋白质组与生物信息学报


Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high resolution climate models

Denoising Diffusion Probabilistic Models

Generative Modeling by Estimating Gradients of the Data Distribution

Improved Techniques for Training Score-Based Generative Models

Machine learning emulation of a local-scale UK climate model


Algorithms for abstention, calibration and domain adaptation to label shift.

Leveraging Unlabeled Data to Predict Out-of-Distribution Performance

Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation

A General Framework for Abstention Under Label Shift


Implementation of reduced-order optimal control schemes for finite element models of Soft Robots

Soft Robot Optimal Control Via Reduced Order Finite Element Models

Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots

Robust Nonlinear Reduced-Order Model Predictive Control


Ariane is a 6-stage RISC-V CPU

TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities

An Exhaustive Approach to Detecting Transient Execution Side Channels in RTL Designs of Processors

Efficient Sealable Protection Keys for RISC-V


South-East Asia Large Language Models

Typhoon: Thai Large Language Models

IndoCulture: Exploring Geographically-Influenced Cultural Commonsense
  Reasoning Across Eleven Indonesian Provinces

BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models

Komodo: A Linguistic Expedition into Indonesia's Regional Languages

Sailor: Open Language Models for South-East Asia

SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore


This repository contains a collection of surveys, datasets,  papers, and codes, for predictive uncertainty estimation in deep learning models.

Uncertainty in big data analytics: survey, opportunities, and challenges

A Survey on Uncertainty Estimation in Deep Learning Classification Systems from a Bayesian Perspective

Evidential fully convolutional network for semantic segmentation


This is a record of all the Manuscript Monday links!

Evaluating the effect of 3D urban form on neighborhood land surface temperature using Google Street View and geographically weighted regression

Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products

Open land-use map: a regional land-use mapping strategy for incorporating OpenStreetMap with earth observations

Characterizing spatial variability in coastal wetland biomass across multiple scales using UAV and satellite imagery

Remote Sensing in Ecology and Conservation

Thresholds of fire response to moisture and fuel load differ between tropical savannas and grasslands across continents

Local-scale agricultural drought monitoring with satellite-based multi-sensor time-series

Mapping spatial variability in shoreline change hotspots from satellite data; a case study in southeast Australia

A spatial pattern analysis of forest loss in the Madre de Dios region, Peru

Understanding 3D structural complexity of individual Scots pine trees with different management history

Integration of Sentinel optical and radar data for mapping smallholder coffee production systems in Vietnam


Binary Decision Diagrams (BDDs) in pure Python and Cython wrappers of CUDD, Sylvan, and BuDDy

On Efficiently Explaining Graph-Based Classifiers

The Reactive Synthesis Competition (SYNTCOMP): 2018-2021

A multi-paradigm language for reactive synthesis

A Comparison of BDD-Based Parity Game Solvers

Symbolic Parity Game Solvers that Yield Winning Strategies

Prioritizing Corners in OoD Detectors via Symbolic String Manipulation

On Deciding Feature Membership in Explanations of SDD & Related Classifiers

Fault Diagnosability Analysis of Multi-Mode Systems


:warning: ARCHIVED :warning: R client for the PLoS Journals API

Social Relationships and Mortality Risk: A Meta-analytic Review

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

Facebook Use Predicts Declines in Subjective Well-Being in Young Adults

Big Data: Astronomical or Genomical?

Science vs Conspiracy: Collective Narratives in the Age of Misinformation

The prevalence of statistical reporting errors in psychology (1985–2013)

A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011-2014

Ten Simple Rules for Writing a Literature Review

Impact of Ocean Warming and Ocean Acidification on Larval Development and Calcification in the Sea Urchin Tripneustes gratilla

Ten simple rules for responsible big data research


MERFISH decoding software

A multimodal cell census and atlas of the mammalian primary motor cortex

Spatially resolved cell atlas of the mouse primary motor cortex by MERFISH

A molecularly defined and spatially resolved cell atlas of the whole mouse brain


T5Patches is a set of tools for fast and targeted editing of generative language models built with T5X.

Fine-Tuning Language Models from Human Preferences

Neural Text Generation with Unlikelihood Training

A Distributional Approach to Controlled Text Generation

Controlling Conditional Language Models without Catastrophic Forgetting

Towards Minimal Targeted Updates of Language Models with Targeted Negative Training


Lightweight Python implementation of Normative Modelling

Scalable Variational Gaussian Process Classification

Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case-Control Studies

Conceptualizing mental disorders as deviations from normative functioning

A normative modelling approach reveals age-atypical cortical thickness in a subgroup of males with autism spectrum disorder

Alpha Waves as a Neuromarker of Autism Spectrum Disorder: The Challenge of Reproducibility and Heterogeneity

Normative modeling of neuroimaging data using generalized additive models of location scale and shape

Morning Plasma Melatonin Differences in Autism: Beyond the Impact of Pineal Gland Volume

The pitfalls of using Gaussian Process Regression for normative modeling


Metabolomics Tools for Galaxy

MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis

Metabolomics: A Way Forward for Crop Improvement

Galaxy-M: a Galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics data


mathLab mirror of Python Dynamic Mode Decomposition

Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems

DYNAMIC MODE DECOMPOSITION: DATA-DRIVEN MODELING OF COMPLEX SYSTEMS

The Optimal Hard Threshold for Singular Values is 4/sqrt(3)

Modern Koopman Theory for Dynamical Systems

Multi-Resolution Dynamic Mode Decomposition

De-biasing the dynamic mode decomposition for applied Koopman spectral analysis of noisy datasets

Theoretical and Computational Fluid Dynamics

Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition

Higher Order Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems

Compressed dynamic mode decomposition for background modeling

PyDMD: Python Dynamic Mode Decomposition

Shape Optimization by means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition


pbsv - PacBio structural variant (SV) calling and analysis tools

A draft human pangenome reference

Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing

A robust benchmark for detection of germline large deletions and insertions

Long-read-based human genomic structural variation detection with cuteSV

Towards population-scale long-read sequencing

Structural variants identified by Oxford Nanopore PromethION sequencing of the human genome

Benchmarking challenging small variants with linked and long reads

Tandem-genotypes: robust detection of tandem repeat expansions from long DNA reads

Current status of structural variation studies in plants

Long Read based Human Genomic Structural Variation Detection with cuteSV


Sandbox for celestial mechanics calculations

REBOUNDx: a library for adding conservative and dissipative forces to otherwise symplectic N-body integrations

Predicting the long-term stability of compact multiplanet systems

Zenodo (CERN European Organization for Nuclear Research)

A Criterion for the Onset of Chaos in Compact, Eccentric Multiplanet Systems

Fundamental limits from chaos on instability time predictions in compact planetary systems

How Close are Compact Multi-Planet Systems to the Stability Limit?

Modeling Radial Velocity Data of Resonant Planets to Infer Migration Histories

Stability Constrained Characterization of the 23 Myr Old V1298 Tau System: Do Young Planets Form in Mean Motion Resonance Chains?

celmech: A Python Package for Celestial Mechanics

Period Ratio Sculpting near Second-order Mean-motion Resonances


MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts

ProGene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus

Infrastructure for Semantic Annotation in the Genomics Domain

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


StyloMetrix

DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)

StyloMetrix: An Open-Source Multilingual Tool for Representing Stylometric Vectors

When a Language Question Is at Stake. A Revisited Approach to Label Sensitive Content

The Grammar and Syntax Based Corpus Analysis Tool For The Ukrainian Language

Misinformation is not about Bad Facts: An Analysis of the Production and
  Consumption of Fringe Content


Tools to handle IMC data

Spatial predictors of immunotherapy response in triple-negative breast cancer

CD16+CD163+ monocytes traffic to sites of inflammation during necrotizing enterocolitis in premature infants

MATISSE: a method for improved single cell segmentation in imaging mass cytometry

Imaging Mass Cytometric Analysis of Postmortem Tissues Reveals Dysregulated Immune Cell and Cytokine Responses in Multiple Organs of COVID-19 Patients

Characterization of the Tumor Immune Microenvironment in Lung Squamous Cell Carcinoma Using Imaging Mass Cytometry

Single-cell spatial analysis of tumor immune architecture in diffuse large B cell lymphoma

Imaging mass cytometry for high-dimensional tissue profiling in the eye

Characterisation of tumour immune microenvironment remodelling following oncogene inhibition in preclinical studies using an optimised imaging mass cytometry workflow

Rarity: discovering rare cell populations from single-cell imaging data

YOUPI: Your powerful and intelligent tool for segmenting cells from imaging mass cytometry data


IFCtoRDF is a set of reusable Java components that allows to parse IFC-SPF files and convert them into RDF graphs.

Analyzing Contextual Linking of Heterogeneous Information Models from the Domains BIM and UIM

ISPRS International Journal of Geo-Information

An Approach of Automatic SPARQL Generation for BIM Data Extraction

Including widespread geometry schemas into Linked Data-based BIM applied to built heritage

Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction

Applying Knowledge Graphs as Integrated Semantic Information Model for the Computerized Engineering of Building Automation Systems

PRACTICAL EXAMPLES ON BIM-GIS INTEGRATION BASED ON SEMANTIC WEB TRIPLESTORES

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Automated extraction of attributes of IFC objects based on graph theory and SPARQL query

IOP Conference Series: Materials Science and Engineering


Collection of scripts that integrates docking, virtual screening, similarity and molecular modeling programs.

Exploring the Antioxidant Properties of Caffeoylquinic and Feruloylquinic Acids: A Computational Study on Hydroperoxyl Radical Scavenging and Xanthine Oxidase Inhibition

Effect of Inhibiting Butyrylcholinesterase Activity Using Fractionated Coffee Extracts Digested In Vitro in Gastrointestinal Tract: Docking Simulation and Calorimetric and Studies

Evaluation of Activity of Sesquiterpene Lactones and Chicory Extracts as Acetylcholinesterase Inhibitors Assayed in Calorimetric and Docking Simulation Studies

A Phytoprostane from Gracilaria longissima Increases Platelet Activation, Platelet Adhesion to Leukocytes and Endothelial Cell Migration by Potential Binding to EP3 Prostaglandin Receptor

International journal of molecular sciences


ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (template) in PyTorch.

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization

Curriculum Offline Imitation Learning


a Lightweight library for sequential learning agents, including reinforcement learning

Decision Transformer: Reinforcement Learning via Sequence Modeling

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

Building a Subspace of Policies for Scalable Continual Learning

Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching

Learning a subspace of policies for online adaptation in Reinforcement Learning

SaLinA: Sequential Learning of Agents


A collection of research on knowledge graphs

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

A Review of Relational Machine Learning for Knowledge Graphs

Knowledge Graphs

Knowledge Representation Learning: A Quantitative Review


Some results of my DGA reversing efforts

Analyzing the Real-World Applicability of DGA Classifiers

Proceedings of the 15th International Conference on Availability, Reliability and Security

Intercepting Hail Hydra: Real-time detection of Algorithmically Generated Domains

Journal of Network and Computer Applications

Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms

False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA Classifiers

Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses


The schedule of the seminar

Large-scale cluster management at Google with Borg

Borg, Omega, and Kubernetes

The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing

The Snowflake Elastic Data Warehouse

SIGMOD'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Stateful Scalable Stream Processing at LinkedIn.

Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases

SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Autopilot: workload autoscaling at Google

PROCEEDINGS OF THE FIFTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS'20)

State management in Apache Flink®: consistent stateful distributed stream processing

Cloudburst: Stateful Functions-as-a-Service

Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark

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


LibAUC: A Deep Learning Library for X-Risk Optimization

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

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

DORA: Exploring Outlier Representations in Deep Neural Networks


Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.

Monitoring induced distributed double-couple sources using Marchenko-based virtual receivers

Virtual Sources and Receivers in the Real Earth: Considerations for Practical Applications

Journal of Geophysical Research: Solid Earth

Virtual acoustics in inhomogeneous media with single-sided access

3D Marchenko applications: implementation and examples

3-D Virtual Seismology

IEEE Transactions on Geoscience and Remote Sensing

Virtual sources and receivers in the real Earth, a method for induced seismicity monitoring


ERMIA: Memory-Optimized OLTP engine for Heterogeneous Workloads (SIGMOD 2016)

ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads

Efficiently making (almost) any concurrency control mechanism serializable

An analysis of concurrency control protocols for in-memory databases with CCBench

CoroBase: Coroutine-Oriented Main-Memory Database Engine


LoMRF is an open-source implementation of Markov Logic Networks

Online learning of event definitions

Theory and Practice of Logic Programming

Semi-Supervised Online Structure Learning for Composite Event Recognition

The Complex Event Recognition Group


Tools for the analysis of pulsar scintillation data

Precision Orbital Dynamics from Interstellar Scintillation Arcs for PSR J0437-4715

The MSPSRπ catalogue: VLBA astrometry of 18 millisecond pulsars

Monthly notices of the Royal Astronomical Society

Modelling annual scintillation arc variations in PSR J1643-1224 using the Large European Array for Pulsars

Probing the Local Interstellar Medium with Scintillometry of the Bright Pulsar B1133 + 16

Interstellar Interferometry: Precise Curvature Measurement from Pulsar Secondary Spectra

Pulsar Double Lensing Sheds Light on the Origin of Extreme Scattering Events

A supernova remnant association for the fast-moving pulsar PSR J0908-4913

Monthly Notices of the Royal Astronomical Society: Letters

Analysis of the ionized interstellar medium and orbital dynamics of PSR J1909-3744 using scintillation arcs

Orbital Dynamics and Extreme Scattering Event Properties from Long-term Scintillation Observations of PSR J1603−7202

Scintillation Arc from FRB 20220912A

中国科学. 物理学 力学 天文学


Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

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

Automatic Posterior Transformation for Likelihood-Free Inference

Flexible statistical inference for mechanistic models of neural dynamics

SBI -- A toolkit for simulation-based inference

Distinct Synaptic Transfer Functions in Same-Type Photoreceptors

Near-optimal rotation of colour space by zebrafish cones in vivo


Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides

Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides

Computational Pathology: A Survey Review and The Way Forward

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation

NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models


Quantitative Constraints on the Reionization History from the IGM Damping Wing Signature in Two Quasars at z > 7

Enhanced Global Signal of Neutral Hydrogen Due to Excess Radiation at Cosmic Dawn

Inferring the astrophysics of reionization and cosmic dawn from galaxy luminosity functions and the 21-cm signal

Data Analysis for Precision 21 cm Cosmology

Publications of the Astronomical Society of the Pacific

Deep learning from 21-cm tomography of the Cosmic Dawn and Reionization

A Simplified, Lossless Reanalysis of PAPER-64

Emulating Simulations of Cosmic Dawn for 21 cm Power Spectrum Constraints on Cosmology, Reionization, and X-Ray Heating

21CMMC with a 3D light-cone: the impact of the co-evolution approximation on the astrophysics of reionization and cosmic dawn

Simultaneously constraining the astrophysics of reionisation and the epoch of heating with 21CMMC

High mass X-ray binaries: Beacons in a stormy universe

Proceedings of the International Astronomical Union. International Astronomical Union


Hyperledger Aries is infrastructure for blockchain-rooted, peer-to-peer interactions

Distributed-Ledger-based Authentication with Decentralized Identifiers and Verifiable Credentials

Extending Expressive Access Policies with Privacy Features


MasakhaNER: Named Entity Recognition for African Languages

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

Language Modelling with Pixels

Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities

Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition


An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.

fugashi, a Tool for Tokenizing Japanese in Python

Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages

Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation


Tools for conducting and parsing web search

Engagement Outweighs Exposure to Partisan and Unreliable News within Google Search

Searching for Representation: A sociotechnical audit of googling for members of U.S. Congress

Googling for Abortion: Search Engine Mediation of Abortion Accessibility in the United States

Journal of Quantitative Description: Digital Media


APT & CyberCriminal Campaign Collection

EXTRACTOR: Extracting Attack Behavior from Threat Reports

MALOnt: An Ontology for Malware Threat Intelligence

Automated Dataset Generation System for Collaborative Research of Cyber Threat Intelligence Analysis.

Advanced Persistent Threat Group Correlation Analysis via Attack Behavior Patterns and Rough Sets


OPEM (Open Source PEM Fuel Cell Simulation Tool)


Models for the spaCy Natural Language Processing (NLP) library

MIMIC-IT: Multi-Modal In-Context Instruction Tuning

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction

AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports

The ParlaMint corpora of parliamentary proceedings

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples

PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs

Understanding NFT Price Moves through Tweets Keywords Analysis

Learning Diachronic Analogies to Analyze Concept Change

SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities

LexSym: Compositionality as Lexical Symmetry

Structural Supervision for Word Alignment and Machine Translation

Findings of the Association for Computational Linguistics: ACL 2022


R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets

Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain

High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell

Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients

Single-cell analysis uncovers fibroblast heterogeneity and criteria for fibroblast and mural cell identification and discrimination

Best practices for single-cell analysis across modalities

Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing

The Neonatal and Adult Human Testis Defined at the Single-Cell Level

SARS-CoV-2 Receptors and Entry Genes Are Expressed in the Human Olfactory Neuroepithelium and Brain

Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury

Reconstruction of the Global Neural Crest Gene Regulatory Network In Vivo


Official cleanlab repo is at https://github.com/cleanlab/cleanlab

Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning

A Multimodal Late Fusion Model for E-Commerce Product Classification


Predict Race and Ethnicity Based on the Sequence of Characters in a Name

Predicting Race and Ethnicity From the Sequence of Characters in a Name

How Costly is Noise? Data and Disparities in Consumer Credit

When Fair Ranking Meets Uncertain Inference

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

Analyzing COVID-19 disinformation on Twitter using the hashtags #scamdemic and #plandemic: Retrospective study

Unpacking the Black Box: Regulating Algorithmic Decisions

Fair Ranking with Noisy Protected Attributes

Data-driven strategies for increasing patient diversity in Bristol Myers Squibb–sponsored US oncology clinical trials


CRITERIA-3D is a three-dimensional agro-hydrological model for small catchments.


Numbers concerning COVID-19 disease cases in The Netherlands by RIVM, LCPS, NICE, ECML, and Rijksoverheid.

Addendum: The FAIR Guiding Principles for scientific data management and stewardship

Lifelines COVID-19 cohort: investigating COVID-19 infection and its health and societal impacts in a Dutch population-based cohort

Why crowding matters in the time of COVID-19 pandemic? - a lesson from the carnival effect on the 2017/2018 influenza epidemic in the Netherlands

The Lifelines COVID-19 Cohort: a questionnaire-based study to investigate COVID-19 infection and its health and societal impacts in a Dutch population-based cohort

Number of diagnoses with coronavirus disease (COVID-19) in The Netherlands

Zenodo (CERN European Organization for Nuclear Research)


QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Socially-Aware Self-Supervised Tri-Training for Recommendation

Modelling High-Order Social Relations for Item Recommendation

Robust Preference-Guided Denoising for Graph based Social Recommendation

Multi-faceted Trust-based Collaborative Filtering

User Modeling, Adaptation, and Personalization

With a Little Help from My Friends (and Their Friends): Influence Neighborhoods for Social Recommendations

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

Motifs-based recommender system via hypergraph convolution and contrastive learning

Private Hierarchical Clustering in Federated Networks


PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Editing Language Model-based Knowledge Graph Embeddings

LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings

Contrastive Demonstration Tuning for Pre-trained Language Models

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce


List of satellite image training datasets with annotations for computer vision and deep learning

SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

Overhead MNIST: A Benchmark Satellite Dataset

Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences

Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words


Expression Atlas

Expression Atlas update—an integrated database of gene and protein expression in humans, animals and plants

Expression Atlas: gene and protein expression across multiple studies and organisms

Expression Atlas update—a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments

β2 Integrins As Regulators of Dendritic Cell, Monocyte, and Macrophage Function


Tools for Energy Model Optimization and Analysis

Modelling to generate alternatives with an energy system optimization model

pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios

Building conflict uncertainty into electricity planning: A South Sudan case study

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

Improving the representation of energy efficiency in an energy system optimization model

Open Source Energy System Modeling Using Break-Even Costs to Inform State-Level Policy: A North Carolina Case Study

Global sensitivity analysis to enhance the transparency and rigour of energy system optimisation modelling


unofficial git repo -- report bugs/issues/pull requests on https://gitlab.torproject.org/ -- discuss proposals on tor-dev@lists.torproject

Producer Anonymity Based on Onion Routing in Named Data Networking

IEEE Transactions on Network and Service Management

Utilizing Public Blockchains for the Sybil-Resistant Bootstrapping of Distributed Anonymity Services


Event-based Vision: A Survey

IEEE transactions on pattern analysis and machine intelligence

v2e: From Video Frames to Realistic DVS Events

Event-Based, 6-DOF Camera Tracking from Photometric Depth Maps

Globally Optimal Contrast Maximisation for Event-based Motion Estimation

Star Tracking using an Event Camera

Event-based Star Tracking via Multiresolution Progressive Hough Transforms

Event-based Background-Oriented Schlieren

Tight Fusion of Events and Inertial Measurements for Direct Velocity Estimation


CPAchecker, the Configurable Software-Verification Platform (read-only mirror)

Software Verification with PDR: Implementation and Empirical Evaluation of the State of the Art

JavaSMT 3: Interacting with SMT Solvers in Java

CoVEGI: Cooperative Verification via Externally Generated Invariants

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

Cooperative Verification via Collective Invariant Generation

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)


Cross-platform IDE for C, C++, Python, QML/JavaScript and PHP


indy-sdk

Designing a Framework for Digital KYC Processes Built on Blockchain-Based Self-Sovereign Identity

A blockchain empowered and privacy preserving digital contact tracing platform

Towards a Blockchain-based Identity and Trust Management Framework for the IoV Ecosystem

Decentralized Cross-Network Identity Management for Blockchain Interoperation

DIIA: Blockchain-Based Decentralized Infrastructure for Internet Accountability

Extending Expressive Access Policies with Privacy Features

Requirement Analyses and Evaluations of Blockchain Platforms per
  Possible Use Cases


A collection of Jupyter notebooks showing how to use the Qiskit SDK

Quantum Generative Adversarial Networks for learning and loading random distributions

Iterative quantum amplitude estimation

Temporal Information Processing on Noisy Quantum Computers

Quantum Volume in Practice: What Users Can Expect From NISQ Devices

IEEE Transactions on Quantum Engineering

Mutation Testing of Quantum Programs: A Case Study With Qiskit

The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline

Bell Diagonal and Werner State Generation: Entanglement, Non-Locality, Steering and Discord on the IBM Quantum Computer

Faster and More Reliable Quantum SWAPs via Native Gates

Maximal Entanglement. Applications in Quantum Information and Particle Physics

Quantum Computing: an undergraduate approach using Qiskit


NIPS 2017 Adversarial Competition in PyTorch

Ensemble Adversarial Training: Attacks and Defenses

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs

Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective


LoRA: Low-Rank Adaptation of Large Language Models

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Training Diffusion Models with Reinforcement Learning

REBEL: Reinforcement Learning via Regressing Relative Rewards

RL for Consistency Models: Faster Reward Guided Text-to-Image Generation


PyTorch implementation of NICE

NICE: Non-linear Independent Components Estimation

Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows


[2024 ECCV Workshop] Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion

Training data-efficient image transformers & distillation through attention

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model


RARR: Researching and Revising What Language Models Say, Using Language Models

FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs


Plot an interactive circular graph to illustrate connections in a network in MATLAB.

Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri)

Predicting Antidepressant Citalopram Treatment Response via Changes in Brain Functional Connectivity After Acute Intravenous Challenge

Functional Connectivity Analysis on Resting-State Electroencephalography Signals Following Chiropractic Spinal Manipulation in Stroke Patients

Development and Testing of SPIDER-NET: An Interactive Tool for Brain Connectogram Visualization, Sub-Network Exploration and Graph Metrics Quantification

Geometric Partition Entropy: Coarse-Graining a Continuous State Space

Brain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality Analysis


Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge

The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Fast and flexible: Human program induction in abstract reasoning tasks

Neural-guided, Bidirectional Program Search for Abstraction and Reasoning

Reasoning Abilities of Large Language Models: In-Depth Analysis on the
  Abstraction and Reasoning Corpus

Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method


Computationally friendly hyper-parameter search with DP-SGD

TAN Without a Burn: Scaling Laws of DP-SGD

Differentially Private Image Classification by Learning Priors from Random Processes

DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning


Implementation of paper 'Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference' [NeurIPS'24]

TOFU: A Task of Fictitious Unlearning for LLMs

Negative Preference Optimization: From Catastrophic Collapse to
  Effective Unlearning

Offset Unlearning for Large Language Models


[ACL2024 Findings] Towards Better Question Generation in QA-Based Event Extraction

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Event Extraction as Question Generation and Answering

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Towards Better Question Generation in QA-based Event Extraction


A Contact-Implicit Trajectory Optimization Package

Contact-Implicit Trajectory Optimization Based on a Variable Smooth Contact Model and Successive Convexification

International Conference on Robotics and Automation

Tuning-Free Contact-Implicit Trajectory Optimization

A Comparative Analysis of Contact Models in Trajectory Optimization for Manipulation


HERitAge by point CLoud procESsing for Matlab

Virtual Disassembling of Historical Edifices: Experiments and Assessments of an Automatic Approach for Classifying Multi-Scalar Point Clouds into Architectural Elements

Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds

ISPRS International Journal of Geo-Information

AUTOMATIC HERITAGE BUILDING POINT CLOUD SEGMENTATION AND
CLASSIFICATION USING GEOMETRICAL RULES

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

AUTOMATIC TRAINING DATA GENERATION IN DEEP LEARNING-AIDED SEMANTIC SEGMENTATION OF HERITAGE BUILDINGS

XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II


Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation

Human Preferences as Dueling Bandits

MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation


Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs

Relational Prompt-based Pre-trained Language Models for Social Event
  Detection


A list of our publications.

RouteNet-Fermi: Network Modeling with Graph Neural Networks

Is Machine Learning Ready for Traffic Engineering Optimization?

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation

MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering

IEEE Transactions on Cognitive Communications and Networking


Blind Model-Based Fusion of Multi-band and Panchromatic Images

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization

Remote sensing image fusion via compressive sensing

Isprs Journal of Photogrammetry and Remote Sensing


Relationship and Entity Extraction Evaluation Dataset

NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging

Transfer Learning for Entity Recognition of Novel Classes

International Conference on Computational Linguistics

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding

Leveraging HTML in Free Text Web Named Entity Recognition

Marshall-Olkin Power-Law Distributions in Length-Frequency of Entities


Deep Residual Learning for Image Recognition

Attention Is All You Need

Squeeze-and-Excitation Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

CBAM: Convolutional Block Attention Module

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Aggregated Residual Transformations for Deep Neural Networks

Dual Attention Network for Scene Segmentation

Training data-efficient image transformers & distillation through attention


a tool for identifying circular RNAs using RNA-Seq data

Biogenesis, identification, and function of exonic circular RNAs

Silencing of circRACGAP1 Sensitizes Gastric Cancer Cells to Apatinib via Modulating Autophagy by Targeting miR-3657 and ATG7

Circular RNAs in the cardiovascular system

Circular RNA circGlis3 protects against islet β-cell dysfunction and apoptosis in obesity

Expression profile of circular RNAs in infantile hemangioma detected by RNA-Seq


CSV spreadsheets and other material for AI accelerator survey papers

1.1 Computing's energy problem (and what we can do about it)

International Solid-State Circuits Conference

The End of Moore's Law: A New Beginning for Information Technology

A new golden age for computer architecture

Domain-specific hardware accelerators

Survey and Benchmarking of Machine Learning Accelerators

IEEE High Performance Extreme Computing Conference

Survey of Machine Learning Accelerators

AI Accelerator Survey and Trends

The decline of computers as a general purpose technology

AI and ML Accelerator Survey and Trends

Lincoln AI Computing Survey (LAICS) Update


[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Scaling Laws for Hyperparameter Optimization

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter
  Optimization


A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.

A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter

Opening the black box: an open-source release of Maxent

Presence-only modelling using MAXENT: when can we trust the inferences?

MaxEnt's parameter configuration and small samples: are we paying attention to recommendations? A systematic review.


Library for Bayesian Quadrature

Emulation of physical processes with Emukit

Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination

Batch Selection for Parallelisation of Bayesian Quadrature

Bayesian Quadrature on Riemannian Data Manifolds


Network: FCN, U-Net, Unet+Resblock(DeepUNet), Squeeze+UNet, DenseNet+UNet(DenseUnet)...

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Road Extraction by Deep Residual U-Net

IEEE Geoscience and Remote Sensing Letters

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation


Constituency Parsing with a Self-Attentive Encoder

Multilingual Constituency Parsing with Self-Attention and Pre-Training

Learned Incremental Representations for Parsing

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


Dataset for the politeness transfer task

Deep Learning for Text Style Transfer: A Survey

A Review of Text Style Transfer using Deep Learning

IEEE Transactions on Artificial Intelligence

From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey

A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception


ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.

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

Large Language Model Bias Mitigation from the Perspective of Knowledge
  Editing

Trade-Offs Between Fairness and Privacy in Language Modeling


Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation


tensor-tensor product toolbox

Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion

Tensor Arnoldi–Tikhonov and GMRES-Type Methods for Ill-Posed Problems with a t-Product Structure

Tensor-Tensor Product Toolbox

Randomized regularized extended Kaczmarz algorithms for tensor recovery

An Efficient Randomized Fixed-Precision Algorithm for Tensor Singular Value Decomposition

A Randomized Algorithm for Tensor Singular Value Decomposition Using an Arbitrary Number of Passes

CS decomposition and GSVD for tensors based on the T-product

A Randomized Singular Value Decomposition for Third-Order Oriented Tensors

Adaptive Cross Tubal Tensor Approximation

The Fréchet derivative of the tensor t-function