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


Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

International Conference on Information and Knowledge Management

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendation via Stochastic Self-Attention

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Improving Transformer-based Sequential Recommenders through Preference Editing

What is Next when Sequential Prediction Meets Implicitly Hard Interaction?

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

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Generating Negative Samples for Sequential Recommendation


Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

PubChem's BioAssay Database

MoleculeNet: A Benchmark for Molecular Machine Learning

Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking

Quantum chemistry structures and properties of 134 kilo molecules

ChEMBL: towards direct deposition of bioassay data

ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost

Inverse molecular design using machine learning: Generative models for matter engineering

Current Status of the AMOEBA Polarizable Force Field

Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field

Journal of the American Chemical Society


Machine learning to predict future number Covid19 Daily Cases (7-day moving average). Long Short Term Memory (LSTM) Predictor and Reinforcement Learning (RL) Prescription with Oxford Dataset

Evolutionary Neural AutoML for Deep Learning

From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic

Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription


In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image.  (Pytorch)

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

CBAM: Convolutional Block Attention Module

Visualizing and Understanding Convolutional Networks

Learning Deep Features for Discriminative Localization

Axiomatic Attribution for Deep Networks

Striving for Simplicity: The All Convolutional Net

Residual Attention Network for Image Classification

SmoothGrad: removing noise by adding noise


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

Lightweight joint simulation of vehicular mobility and communication with LIMoSim

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


Decentralized framework for the distribution of lambda functions to multiple serverless platforms

A Decentralized Framework for Serverless Edge Computing in the Internet of Things

IEEE Transactions on Network and Service Management

FaaS execution models for edge applications

Stateless or Stateful FaaS? I'll Take Both!

Zenodo (CERN European Organization for Nuclear Research)


The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.

Recent advances and applications of deep learning methods in materials science

Machine Learning the Quantum-Chemical Properties of Metal–Organic Frameworks for Accelerated Materials Discovery with a New Electronic Structure Database

Benchmarking graph neural networks for materials chemistry

Preview of machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery

Artificial Intelligence in Material Engineering: A Review on Applications of Artificial Intelligence in Material Engineering


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

Rethinking Range View Representation for LiDAR Segmentation

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

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


The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization


Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane


All my scientific software thrown into one bucket.

Solving for multi-class using orthogonal coding matrices

Solving for multi-class: a survey and synthesis

Accelerating kernel classifiers through borders mapping


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

EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction

ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data


An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

VERSE: Versatile Graph Embeddings from Similarity Measures

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

GOSH: Embedding Big Graphs on Small Hardware

PROCEEDINGS OF THE 49TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2020

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme

Understanding Coarsening for Embedding Large-Scale Graphs


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


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


GRAbB (Genome Region Assembly by Baiting) is a program designed to assemble selected regions of the genome or transcriptome using reference sequences and NGS data.

Phylogeny of dermatophytes with genomic character evaluation of clinically distinct Trichophyton rubrum and T. violaceum.

GRAbB: Selective Assembly of Genomic Regions, a New Niche for Genomic Research

Population Genomic Analysis Reveals a Highly Conserved Mitochondrial Genome in Fusarium asiaticum


Fast algorithms for complementary low-rank matrices, e.g. Fourier integral operators (FIOs) for wave equations and a class of imaging methods, a class of transforms for harmonic analysis and special functions.

Butterfly Factorization

Interpolative Butterfly Factorization

A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators

A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces

Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization

Multidimensional phase recovery and interpolative decomposition butterfly factorization


Source code of EDPRC.

Entity, Relation, and Event Extraction with Contextualized Span Representations

DEGREE: A Data-Efficient Generation-Based Event Extraction Model

Sentence-level Event Detection without Triggers via Prompt Learning and Machine Reading Comprehension


Building a Conversational Agent Overnight with Dialogue Self-Play

Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems

Scalable Multi-Domain Dialogue State Tracking

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding

Transfer Learning for Context-Aware Spoken Language Understanding

Automatic Speech Recognition & Understanding


Hydrology and Climate Forecasting R package


Stellar LAbel Machine (SLAM).

Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)

The Astrophysical Journal Supplement Series

Stellar Parameterization of LAMOST M Dwarf Stars

The Early-type Stars from the LAMOST Survey: Atmospheric Parameters

The Stellar Spectra Factory (SSF) Based on SLAM


Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"

Dream to Control: Learning Behaviors by Latent Imagination

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL


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

BAS: Beetle Antennae Search Algorithm for Optimization Problems

Beetle Swarm Optimization Algorithm:Theory and Application

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

BSAS: Beetle Swarm Antennae Search Algorithm for Optimization Problems


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


Release of CIFAR-10.1, a new test set for CIFAR-10.

Do ImageNet Classifiers Generalize to ImageNet?

Do CIFAR-10 Classifiers Generalize to CIFAR-10?

Learning Deep Kernels for Non-Parametric Two-Sample Tests

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification

Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data

On the Strong Correlation Between Model Invariance and Generalization

How do we generalize?

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

Multi-scale Diffusion Denoised Smoothing


Data and analysis for 'Machine Bias'

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Towards Robust Interpretability with Self-Explaining Neural Networks

Machine Learning Testing: Survey, Landscapes and Horizons

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Fairness in Machine Learning

Measuring Fairness in Ranked Outputs

Model-Agnostic Counterfactual Explanations for Consequential Decisions

Fairness in Deep Learning: A Computational Perspective

Predictability and Surprise in Large Generative Models

From Parity to Preference-based Notions of Fairness in Classification


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

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

Deep Anomaly Detection with Outlier Exposure

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


Forecast uncertainty based on model averaging

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

The uncertainty estimation of feature-based forecast combinations


Transformer-based online speech recognition system with TensorFlow 2

Attention-based Audio-Visual Fusion for Robust Automatic Speech Recognition

International Conference on Multimodal Interfaces

Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech Recognition

Learning to Count Words in Fluent Speech enables Online Speech
  Recognition

AV Taris: Online Audio-Visual Speech Recognition


Improved Phased Assembler

An intronic transposon insertion associates with a trans-species color polymorphism in Midas cichlid fishes

Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes

Two high-quality de novo genomes from single ethanol-preserved specimens of tiny metazoans (Collembola)

Genome assembly of three AmazonianMorphobutterfly species reveals Z-chromosome rearrangements between closely-related species living in sympatry

The transcriptional landscape underlying larval development and metamorphosis in the Malabar grouper (Epinephelus malabaricus)


Corpus of Online Medical EnTities: the cometA corpus

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

COMETA: A Corpus for Medical Entity Linking in the Social Media

BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks


Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML 2022)

CEIL: Generalized Contextual Imitation Learning

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

SEABO: A Simple Search-Based Method for Offline Imitation Learning

A Strong Baseline for Batch Imitation Learning

A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories


Public releases of the FLEE agent-based modelling code.

A generalized simulation development approach for predicting refugee destinations

How Policy Decisions Affect Refugee Journeys in South Sudan: A Study Using Automated Ensemble Simulations

Journal of Artificial Societies and Social Simulation

VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Sensitivity-driven simulation development: a case study in forced migration

Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources


Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Rethinking Graph Neural Networks for Anomaly Detection

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

Reinforcement learning on graphs: A survey


Adversarial Robustness for Code

Do Machine Learning Models Produce TypeScript Types That Type Check?

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit

Advanced Graph-Based Deep Learning for Probabilistic Type Inference


A pytorch implementation of Abstract Syntax Networks

Abstract Syntax Networks for Code Generation and Semantic Parsing

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

Embedding API dependency graph for neural code generation


A high-performance library for computing Lorentzian spin foam amplitudes.

A high-performance code for EPRL spin foam amplitudes

How-to Compute EPRL Spin Foam Amplitudes

Radiative corrections to the Lorentzian Engle-Pereira-Rovelli-Livine spin foam propagator

Numerical evaluation of spin foam amplitudes beyond simplices

A Monte Carlo algorithm for spin foam intertwiners


Clone (~1000) repos matched to query on GitHub using Search API

Learning to Parallelize in a Shared-Memory Environment with Transformers

Advising OpenMP Parallelization via a Graph-Based Approach with Transformers

MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers


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)

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

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations

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)


Microservice Architecture Reconstruction and Visualization Techniques: A Review

A curated Dataset of Microservices-Based Systems

Microvision: Static analysis-based approach to visualizing microservices in augmented reality

A Decomposition and Metric-Based Evaluation Framework for Microservices

Static analysis tools in the era of cloud-native systems


PRS-on-SPARK

A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions

DNA methylome variation in a perinatal nurse-visitation program that reduces child maltreatment: a 27-year follow-up

PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores

Corticolimbic DCC gene co-expression networks as predictors of impulsivity in children

A Glucocorticoid-Sensitive Hippocampal Gene Network Moderates the Impact of Early-Life Adversity on Mental Health Outcomes

DCC gene network in the prefrontal cortex is associated with total brain volume in childhood

Journal of psychiatry & neuroscience : JPN


Mixed Model Package For Genome-wide association mapping.

GWAPP: A Web Application for Genome-Wide Association Mapping in Arabidopsis

Characterizing both bacteria and fungi improves understanding of the Arabidopsis root microbiome

Limited Contribution of DNA Methylation Variation to Expression Regulation in Arabidopsis thaliana

Genome-wide Association Analysis Tracks Bacterial Leaf Blight Resistance Loci In Rice Diverse Germplasm

Multiple alleles at a single locus control seed dormancy in Swedish Arabidopsis

Extreme genetic signatures of local adaptation during Lotus japonicus colonization of Japan

Identification of genetic loci associated with higher resistance to pancreas disease (PD) in Atlantic salmon (Salmo salar L.)

Locally adaptive temperature response of vegetative growth in Arabidopsis thaliana

The genetic architecture of the network underlying flowering time variation in Arabidopsis thaliana

GWAPP: A Web Application for Genome-wide Association Mapping in A. thaliana


Differential RhythmicitY analysis in R is an R package that provides the statistical framework to assess differential rhythmicity of a time series with two and more conditions.

Systematic analysis of differential rhythmic liver gene expression mediated by the circadian clock and feeding rhythms

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

Sensory conflict disrupts circadian rhythms in the sea anemone Nematostella vectensis

Collecting mouse livers for transcriptome analysis of daily rhythms

Harvesting mouse suprachiasmatic nucleus by vibrating microtome for diurnal transcriptome analysis

Circadian transcriptome processing and analysis: a workflow for muscle stem cells


Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

DeepDyve: Dynamic Verification for Deep Neural Networks

Conference on Computer and Communications Security

HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators

Don't Knock! Rowhammer at the Backdoor of DNN Models

A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks

Evaluation of Parameter-based Attacks against Embedded Neural Networks with Laser Injection


Whitening for Self-Supervised Representation Learning | Official repository

A Simple Framework for Contrastive Learning of Visual Representations

Bootstrap your own latent: A new approach to self-supervised Learning

Backdoor Attacks on Self-Supervised Learning

Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning

An Investigation into Whitening Loss for Self-supervised Learning

Learning Instance-Specific Augmentations by Capturing Local Invariances

A Survey on Self-Supervised Representation Learning

Guarding Barlow Twins Against Overfitting with Mixed Samples


Python package to read in tabulated photon densities and gamma-ray opacities

Sensitivity of the Cherenkov Telescope Array for probing cosmology and fundamental physics with gamma-ray propagation

Journal of Cosmology and Astroparticle Physics

GRB 221009A: A Light Dark Matter Burst or an Extremely Bright Inverse Compton Component?

Interpretation of multi-TeV photons from GRB221009A

Connecting steady emission and very high energy flaring states in blazars: the case of Mrk 421

Monthly notices of the Royal Astronomical Society

MINOT: Modeling the intracluster medium (non-)thermal content and observable prediction tools

Relevance of photon-photon dispersion within the jet for blazar axionlike particle searches

Hadronic processes at work in 5BZB J0630-2406

Probing the Extragalactic Mid-infrared Background with HAWC


[ECCV 2022] Learning to Weight Samples for Dynamic Early-exiting Networks

Multi-Scale Dense Networks for Resource Efficient Image Classification

Resolution Adaptive Networks for Efficient Inference


Co-evolution of agents and environments in GVG-AI

General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms

Procedural Content Generation through Quality Diversity

IEEE Computational Intelligence Magazine

Co-generation of game levels and game-playing agents


Open source code for the GCN training algorithm published in IEEE/IPDPS'19

GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms

Symposium on Field Programmable Gate Arrays

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Accurate, Efficient and Scalable Graph Embedding

International Parallel and Distributed Processing Symposium


Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection

FaceNet: A Unified Embedding for Face Recognition and Clustering

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

SphereFace: Deep Hypersphere Embedding for Face Recognition

VGGFace2: A dataset for recognising faces across pose and age

A Light CNN for Deep Face Representation with Noisy Labels

Deep Polynomial Neural Networks

IEEE transactions on pattern analysis and machine intelligence

GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations

Controllable and Guided Face Synthesis for Unconstrained Face Recognition

Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem

A realistic approach to generate masked faces applied on two novel masked face recognition data sets


Fast decision tree software in spherical coordinates for finding objects contaminated by artifacts in images. Highly optimized for large data sets and high number of masks.

Constraints on Cosmology and Baryonic Feedback with the Deep Lens Survey Using Galaxy–Galaxy and Galaxy–Mass Power Spectra

Evidence for a Highly Opaque Large-scale Galaxy Void at the End of Reionization

Constraining Dark Energy with Stacked Concave Lenses

Testing the Large-scale Environments of Cool-core and Non-cool-core Clusters with Clustering Bias


[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment


Empirical tricks for training robust models (ICLR 2021)

Bag of Tricks for Adversarial Training

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks

Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 12

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness


Load Monitoring and Energy Disaggregation on a RasPi


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


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

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

International Conference on Tools with Artificial Intelligence

Adaptive Nonparametric Clustering

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

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

Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection

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

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

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

A New Index for Clustering Evaluation Based on Density Estimation


ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

Learning without Forgetting

End-to-End Incremental Learning

Overcoming Catastrophic Forgetting by Generative Regularization


RE3: State Entropy Maximization with Random Encoders for Efficient Exploration

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning

Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

Tackling Visual Control via Multi-View Exploration Maximization


Wireless signal strength based localization using Gaussian processes and path loss models

Improving Gaussian Processes based mapping of wireless signals using path loss models

Data Information Fusion From Multiple Access Points for WiFi-Based Self-localization

International Conference on Robotics and Automation

Fast and robust localization using laser rangefinder and wifi data

International Conference on Multisensor Fusion and Integration for Intelligent Systems


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


The Exoplanet Population Observation Simulator. I. The Inner Edges of Planetary Systems

Hints for a Turnover at the Snow Line in the Giant Planet Occurrence Rate

The Exoplanet Population Observation Simulator. II -- Population
  Synthesis in the Era of Kepler

The Impact of Stripped Cores on the Frequency of Earth-size Planets in the Habitable Zone

Earths in Other Solar Systems’ N-body Simulations: The Role of Orbital Damping in Reproducing the Kepler Planetary Systems

The Demographics of Kepler's Earths and Super-Earths into the Habitable Zone

pterodactyls: A Tool to Uniformly Search and Vet for Young Transiting Planets in TESS Primary Mission Photometry


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


Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network (GNN)-based model that uses knowledge graph for SL prediction.

Knowledge Graph Convolutional Networks for Recommender Systems

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

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers

Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade


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


Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes

Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs

Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects


Python code to fit absorption lines semi-interactively

Large Metallicity Variations in the Galactic Interstellar Medium

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

Dust depletion of metals from local to distant galaxies

VoigtFit: A Python package for Voigt profile fitting

New constraints on the physical conditions in H-2-bearing GRB-host damped Lyman-alpha absorbers

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

Monthly Notices of the Royal Astronomical Society

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

Metal Lines Associated with the Lyα Forest from eBOSS Data


Combining Answer Set Programming and Domain Heuristics for Solving Hard Industrial Problems (Application Paper)

Modeling Variations of First-Order Horn Abduction in Answer Set Programming

Inconsistency Proofs for ASP: The ASP-DRUPE Format

Hybrid ASP-based Approach to Pattern Mining

Theory and Practice of Logic Programming


SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Accelerated Federated Learning with Decoupled Adaptive Optimization


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


Learning Implicit Surfaces from Point Clouds (ECCV 2020)

Shape As Points: A Differentiable Poisson Solver

Points2Surf: Learning Implicit Surfaces from Point Cloud Patches

POCO: Point Convolution for Surface Reconstruction

Neural Kernel Surface Reconstruction

Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction


A package for hadron resonance gas model applications (current version: 1.4.2)

Thermal-FIST: A package for heavy-ion collisions and hadronic equation of state

Multiplicity dependence of light nuclei production at LHC energies in the canonical statistical model

Finite resonance widths influence the thermal-model description of hadron yields

Kinetic freeze-out temperature from yields of short-lived resonances

Hadron yields and fluctuations at energies available at the CERN Super Proton Synchrotron: System-size dependence from Pb + Pb to p+p collisions

Monte Carlo approach to the excluded-volume hadron resonance gas in grand canonical and canonical ensembles

Light nuclei in the hadron resonance gas

International Journal of Modern Physics E

Estimation of the freeze-out parameters reachable in a fixed-target experiment at the CERN Large Hadron Collider

Statistical hadron-gas treatment of systems created in proton-proton interactions at energies available at the CERN Super Proton Synchrotron

Puzzles in statistical hadron-gas treatment of systems created in proton-proton interactions at CERN SPS.


Manipulate gravitational waveforms—changing frames, and so on.

The SXS collaboration catalog of binary black hole simulations

Multipolar effective-one-body waveforms for precessing binary black holes: Construction and validation

A Surrogate model of gravitational waveforms from numerical relativity simulations of precessing binary black hole mergers

Regression methods in waveform modeling: a comparative study

Fast and efficient evaluation of gravitational waveforms via reduced-order spline interpolation


Tabulated Correlation Functions

Five per cent measurements of the growth rate from simulation-based modelling of redshift-space clustering in BOSS LOWZ

AbacusHOD: A highly efficient extended multi-tracer HOD framework and its application to BOSS and eBOSS data

On the halo-mass and radial scale dependence of the lensing is low effect

Constraints on S8 from a full-scale and full-shape analysis of redshift-space clustering and galaxy–galaxy lensing in BOSS

Evidence of galaxy assembly bias in SDSS DR7 galaxy samples from count statistics

Differentiable Predictions for Large Scale Structure with SHAMNet


Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"

Concept Bottleneck Models

Probabilistic Concept Bottleneck Models


R package to assess water quality trends with generalized additive models

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


Scripts to run several protocols to process and analyze Next-Generation Sequencing data

Protein-coding genes in B chromosomes of the grasshopper Eyprepocnemis plorans

Comparative analysis of morabine grasshopper genomes reveals highly abundant transposable elements and rapidly proliferating satellite DNA repeats

The Role of Satellite DNAs in Genome Architecture and Sex Chromosome Evolution in Crambidae Moths

A Glimpse into the Satellite DNA Library in Characidae Fish (Teleostei, Characiformes)

B chromosomes of multiple species have intense evolutionary dynamics and accumulated genes related to important biological processes

A Long-Term Conserved Satellite DNA That Remains Unexpanded in Several Genomes of Characiformes Fish Is Actively Transcribed

In-Depth Satellitome Analyses of 37 Drosophila Species Illuminate Repetitive DNA Evolution in the Drosophila Genus

Biology and Genomics of an Historic Therapeutic Escherichia coli Bacteriophage Collection

The Satellite DNA Catalogues of Two Serrasalmidae (Teleostei, Characiformes): Conservation of General satDNA Features over 30 Million Years

The complete mitochondrial genome sequence of Astyanax paranae (Teleostei: characiformes)


Cavity molecular dynamics simulations for vibrational strong and ultrastrong coupling, including code implementation, job submission, data post-processing and plotting.

Cavity molecular dynamics simulations of liquid water under vibrational ultrastrong coupling

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

Collective Vibrational Strong Coupling Effects on Molecular Vibrational Relaxation and Energy Transfer: Numerical Insights via Cavity Molecular Dynamics Simulations**

Cavity molecular dynamics simulations of vibrational polariton-enhanced molecular nonlinear absorption

Energy-efficient pathway for selectively exciting solute molecules to high vibrational states via solvent vibration-polariton pumping

Polariton relaxation under vibrational strong coupling: Comparing cavity molecular dynamics simulations against Fermi's golden rule rate

Quantum Simulations of Vibrational Strong Coupling via Path Integrals

QM/MM Modeling of Vibrational Polariton Induced Energy Transfer and Chemical Dynamics

Journal of the American Chemical Society

Mesoscale Molecular Simulations of Fabry-Pérot Vibrational Strong
  Coupling


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


Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)

Black-box Adversarial Attacks with Bayesian Optimization

R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games

An empirical study of derivative-free-optimization algorithms for targeted black-box attacks in deep neural networks


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

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

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


A  riscv isa simulator in rust.


"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction"  (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results


Access and Analyze eBird Status and Trends Data


Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020

Generative Adversarial Imitation Learning

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

A Divergence Minimization Perspective on Imitation Learning Methods

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

A Ranking Game for Imitation Learning

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

Imitation learning by state-only distribution matching

Reward Learning using Structural Motifs in Inverse Reinforcement Learning

Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble


Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

Machine Learning at the Network Edge: A Survey

PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices

An Ultra-low Power TinyML System for Real-time Visual Processing at Edge


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


Mitigating Data Heterogeneity in Federated Learning with Data Augmentation

Proportional Fairness in Federated Learning

Understanding Hessian Alignment for Domain Generalization

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


Equation-Free function toolbox for Matlab/Octave

A toolbox of equation-free functions in Matlab/Octave for efficient system level simulation

Equation-free patch scheme for efficient computational homogenisation via self-adjoint coupling

A multiscale scheme accurately simulates macroscale shocks in an equation-free framework

Efficient computational homogenisation of 2D beams of heterogeneous elasticity using the patch scheme


Two case studies designed to study variability in optimization approach and wake models for wind farm layout optimization. In accordance with IEA Task 37.

Topology optimization of wind farm layouts

Turbine scale and siting considerations in wind plant layout optimization and implications for capacity density

A Framework for Simultaneous Design of Wind Turbines and Cable Layout in Offshore Wind


Collection of tools to extract semantic information from (mathematical) research articles

unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network

Multimodal Machine Learning for Extraction of Theorems and Proofs in the Scientific Literature

Extracting scientific results from research articles

HAL (Le Centre pour la Communication Scientifique Directe)

REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific
  Sentences using Public and Proprietary LLMs


A code for velocity-based Lagrangian and Eulerian PT expansions of redshift-space distortions.

Cosmological constraints from unWISE and Planck CMB lensing tomography

Redshift-space distortions in Lagrangian perturbation theory

Journal of Cosmology and Astroparticle Physics

Consistent modeling of velocity statistics and redshift-space distortions in one-loop perturbation theory

Cosmology at high redshift -- a probe of fundamental physics

Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing

Cosmological analysis of three-dimensional BOSS galaxy clustering and Planck CMB lensing cross correlations via Lagrangian perturbation theory

Cross-correlation of Planck CMB lensing with DESI-like LRGs

The Atacama Cosmology Telescope: Cosmology from Cross-correlations of unWISE Galaxies and ACT DR6 CMB Lensing

Snowmass2021 Cosmic Frontier White Paper: Cosmology and Fundamental Physics from the three-dimensional Large Scale Structure

Accurate predictions from small boxes: variance suppression via the Zel'dovich approximation


The continuous Bernoulli: fixing a pervasive error in variational autoencoders

Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning

The continuous categorical: a novel simplex-valued exponential family

Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial

Deep Learning-Based Graffiti Detection: A Study Using Images from the Streets of Lisbon

On the Normalizing Constant of the Continuous Categorical Distribution


Utilities to support landscape-, forest-, and tree-related data collection, manipulation, analysis, modelling, and visualization.

Adjudicating Perspectives on Forest Structure: How Do Airborne, Terrestrial, and Mobile Lidar-Derived Estimates Compare?


Classification of smart contract vulnerabilities

A Framework and DataSet for Bugs in Ethereum Smart Contracts

OpenSCV: An Open Hierarchical Taxonomy for Smart Contract Vulnerabilities

To Healthier Ethereum: A Comprehensive and Iterative Smart Contract Weakness Enumeration


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

Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

Dissociable Multi-scale Patterns of Development in Personalized Brain Networks

Functional harmonics reveal multi-dimensional basis functions underlying cortical organization

Women’s neuroplasticity during gestation, childbirth and postpartum

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


Conference and Journal Paper Implementations

Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot


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


Official research projects of badminton CoachAI

Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis

A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset


Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632

Visual Domain Adaptation: A survey of recent advances

Neural Unsupervised Domain Adaptation in NLP---A Survey

Deep Contextualized Self-training for Low Resource Dependency Parsing


MAGRATHEA: an open-source spherical symmetric planet interior structure code

Confirming the 3:2 Resonance Chain of K2-138

Implications of an improved water equation of state for water-rich planets

Monthly notices of the Royal Astronomical Society

The TESS-Keck Survey. XVIII. A Sub-Neptune and Spurious Long-period Signal in the TOI-1751 System

Composition constraints of the TRAPPIST-1 planets from their formation


A whole-genome and alignment-free prokaryotic phylogeny tool

CVTree: A Parallel Alignment-free Phylogeny and Taxonomy Tool Based on Composition Vectors of Genomes

基因组蛋白质组与生物信息学报

PanDelos: a dictionary-based method for pan-genome content discovery

CAM: An alignment-free method to recover phylogenies using codon aversion motifs


FastPoseGait is a user-friendly and flexible repository that aims to help researchers get started on pose-based gait recognition quickly.

Spatial Transformer Network on Skeleton-based Gait Recognition

GPGait: Generalized Pose-based Gait Recognition

FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition


HIPP: Modern C++ Toolkit for HPC

MAHGIC: a Model Adapter for the Halo–Galaxy Inter-Connection

Finding protoclusters to trace galaxy evolution - I. The finder and its performance

A two-phase model of galaxy formation: I. The growth of galaxies and supermassive black holes

A two-phase model of galaxy formation: II. The size-mass relation of dynamically hot galaxies

Measuring Galaxy Abundance and Clustering at High Redshift from Incomplete Spectroscopic Data: Tests on Mock Catalogs

A two-phase model of galaxy formation: III. The formation of globular
  clusters


CpG Transformer for imputation of single-cell methylomes

DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning

CaMelia: imputation in single-cell methylomes based on local similarities between cells

Application of deep learning in cancer epigenetics through DNA methylation analysis


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

Zenodo (CERN European Organization for Nuclear Research)


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


The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.

Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations

Machine learning and knowledge extraction

The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations

A Functional Interpolation Approach to Compute Periodic Orbits in the Circular-Restricted Three-Body Problem

Orbit transfer using Theory of Functional Connections via change of variables

The Theory of Functional Connections on Vector Spaces

Theory of Functional Connections and Nelder–Mead optimization methods applied in satellite characterization


Implementations in both Matlab and R of the SIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/nmeth.4207

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

Random forest based similarity learning for single cell RNA sequencing data

Analysis and Visualization of Spatial Transcriptomic Data

SSCC: A Novel Computational Framework for Rapid and Accurate Clustering Large-scale Single Cell RNA-seq Data

基因组蛋白质组与生物信息学报

Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer

Computational and structural biotechnology journal

Deep Learning in Single-Cell Analysis

Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles

Clustering with feature selection using alternating minimization, Application to computational biology


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


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


The Forward Physics Facility at the High-Luminosity LHC

Forward experiment sensitivity estimator for the LHC and future hadron colliders

FLArE up dark sectors with EM form factors at the LHC forward physics facility

A C++ program for estimating detector sensitivities to long-lived particles: displaced decay counter


code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

Exponential Family Estimation via Adversarial Dynamics Embedding

Normalizing flows for novelty detection in industrial time series data

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory

Non-Gaussian Gaussian Processes for Few-Shot Regression

Flow-based likelihoods for non-Gaussian inference

Second-Order Neural ODE Optimizer

Interpolated Adjoint Method for Neural ODEs.

Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows


Software library for FDTD of viscoelastic equation using a staggered grid arrangement with support for GPU and CPU backends

A viscoelastic model for the prediction of transcranial ultrasound propagation: application for the estimation of shear acoustic properties in the human skull

Superposition method for modelling boundaries between media in viscoelastic finite difference time domain simulations

The Journal of the Acoustical Society of America

BabelBrain: An Open-Source Application for Prospective Modeling of Transcranial Focused Ultrasound for Neuromodulation Applications


The Common Evaluation Platform (CEP), based on UCB's Chipyard Framework,  is an SoC design that contains only license-unencumbered, freely available components.

ASSURE: RTL Locking Against an Untrusted Foundry

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

A Modern Approach to IP Protection and Trojan Prevention: Split Manufacturing for 3D ICs and Obfuscation of Vertical Interconnects

IEEE Transactions on Emerging Topics in Computing

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning

DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection

A practical application of game theory to optimize selection of hardware Trojan detection strategies

Journal of Hardware and Systems Security

A Framework for Automated Exploration of Trojan Attack Space in FPGA Netlists

T-TER: Defeating A2 Trojans with Targeted Tamper-Evident Routing

An Extensible Framework for Quantifying the Coverage of Defenses Against Untrusted Foundries

FuncTeller: How Well Does eFPGA Hide Functionality?


Parallel Library for Tensor Network Methods

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Foundations and Trends® in Machine Learning

Magnetic field induced quantum phases in a tensor network study of Kitaev magnets

Tensor Regression

TeNeS: Tensor network solver for quantum lattice systems


TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning


A python code to calculate the conversion probability between photons and axions / axionlike particles

Sensitivity of the Cherenkov Telescope Array for probing cosmology and fundamental physics with gamma-ray propagation

gammaALPs: An open-source python package for computing photon-axion-like-particle oscillations in astrophysical environments

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

Updated constraints on axion-like particles from temporal information in supernova SN1987A gamma-ray data

Search for the imprint of axion-like particles in the highest-energy photons of hard γ-ray blazars

Relevance of jet magnetic field structure for blazar axionlike particle searches

Searching for Axion-Like Particles from Core-Collapse Supernovae with Fermi LAT's Low Energy Technique

Constraints on axionlike particles from a combined analysis of three flaring
Fermi
 flat-spectrum radio quasars

Axion-Like Particle Searches with IACTs

Relevance of photon-photon dispersion within the jet for blazar axionlike particle searches

CTA sensitivity for probing cosmology and fundamental physics with gamma rays


Polyglot Live Programming with GraalVM, the Language Server Protocol (LSP), and VS Code.

Exploratory and Live, Programming and Coding: A Literature Study Comparing Perspectives on Liveness

Babylonian-style Programming: Design and Implementation of an Integration of Live Examples into General-purpose Source Code

Example-based live programming for everyone: building language-agnostic tools for live programming with LSP and GraalVM

SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software

Implementing Babylonian/S by Putting Examples Into Contexts: Tracing Instrumentation for Example-based Live Programming as a Use Case for Context-oriented Programming

Proceedings of the Workshop on Context-oriented Programming  - COP '19

GraalSqueak: toward a smalltalk-based tooling platform for polyglot programming

Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes


CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis

Automatic Mapping of NES Games with Mappy

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THE FOUNDATIONS OF DIGITAL GAMES (FDG'17)

Automated Game Design Learning

Mechanics Automatically Recognized via Interactive Observation: Jumping


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


A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications (SIGCOMM '21)

A variegated look at 5G in the wild: performance, power, and QoE implications

SIGCOMM '21: PROCEEDINGS OF THE 2021 ACM SIGCOMM 2021 CONFERENCE

Revisiting Cellular Throughput Prediction over the Edge: Collaborative Multi-device, Multi-network in-situ Learning


Challenge inputs, details, and results for the SAMPL6 series of challenges

Blind prediction of host-guest binding affinities: a new SAMPL3 challenge

Journal of computer-aided molecular design

Best Practices for Alchemical Free Energy Calculations [Article v1.0]

Living journal of computational molecular science

The SAMPL4 host–guest blind prediction challenge: an overview

Overview of the SAMPL5 host–guest challenge: Are we doing better?

Cucurbit[8]uril Mediated Donor–Acceptor Ternary Complexes: A Model System for Studying Charge-Transfer Interactions

Overview of the SAMPL6 host–guest binding affinity prediction challenge

Binding of cyclic carboxylates to octa-acid deep-cavity cavitand

Nonmonotonic assembly of a deep-cavity cavitand.

Journal of the American Chemical Society

Assessing the accuracy of octanol-water partition coefficient predictions in the SAMPL6 Part II log P Challenge

A Simple Assay for Quality Binders to Cucurbiturils


Adaptive Universal Generalized PageRank Graph Neural Network

Is Homophily a Necessity for Graph Neural Networks?

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation

Handling Distribution Shifts on Graphs: An Invariance Perspective

Revisiting Heterophily For Graph Neural Networks

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

p-Laplacian Based Graph Neural Networks

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks


An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

A Developmental Perspective on Executive Function

What is consciousness, and could machines have it?

The seven tools of causal inference, with reflections on machine learning

Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power

Integrated Task and Motion Planning

Rethinking Executive Function and Its Development

Perspectives on psychological science : a journal of the Association for Psychological Science

Two Lines: A Valid Alternative to the Invalid Testing of U-Shaped Relationships With Quadratic Regressions

The AHA! Experience: Creativity Through Emergent Binding in Neural Networks

Childhood as a solution to explore–exploit tensions

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

The Interactive Evolution of Human Communication Systems


An open-source framework for self-supervised recommender systems.

Self-Supervised Learning for Recommender Systems: A Survey

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation

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

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation

Embedding in Recommender Systems: A Survey

Long-tail Augmented Graph Contrastive Learning for Recommendation


A framework for high-performance domain decomposition methods.

Microwave tomographic imaging of cerebrovascular accidents by using high-performance computing

A GenEO Domain Decomposition method for Saddle Point problems

Fully Parallel Mesh I/O Using PETSc DMPlex with an Application to Waveform Modeling

Mathematical Analysis of Robustness of Two-Level Domain Decomposition Methods with respect to Approximate Coarse Solves

Asynchronous One-Level and Two-Level Domain Decomposition Solvers

Large-scale frequency-domain seismic wave modeling on h-adaptive tetrahedral meshes with iterative solver and multi-level domain-decomposition preconditioners

Iterative frequency-domain seismic wave solvers based on multi-level domain-decomposition preconditioners

Several Ways to Achieve Robustness When Solving Wave Propagation Problems

Large-scale finite-difference and finite-element frequency-domain seismic wave modelling with multi-level domain-decomposition preconditioner


Official repository for RawNet, RawNet2, and RawNet3

RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification

Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveforms

Pushing the limits of raw waveform speaker recognition

ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible
  recipes, self-supervised front-ends, and off-the-shelf models

CoMoSVC: Consistency Model-based Singing Voice Conversion

Learning Metrics from Mean Teacher: A Supervised Learning Method for Improving the Generalization of Speaker Verification System

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection


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


Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization (ORQ).

Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale

Estrogen receptor 1 gene polymorphisms (PvuII and XbaI) are associated with type 2 diabetes in Palestinian women

The “Walk” towards the UN Sustainable Development Goals: Does Mandated “Talk” through NonFinancial Disclosure Affect Companies’ Financial Performance?

Pathogen evasion of social immunity

Tree Diversity, Initial Litter Quality, and Site Conditions Drive Early-Stage Fine-Root Decomposition in European Forests

Immune Cell Associations with Cancer Risk

Altered structural brain asymmetry in autism spectrum disorder: large-scale analysis via the ENIGMA Consortium

Analysis of fungal genomes reveals commonalities of intron loss/gain and functions in intron-poor species

Extra food provisioning does not affect behavioral lateralization in nestling lesser kestrels


R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan


Time Series Initialization of Buildings

Bottom-up energy supply optimization of a national building stock

The Role of Hydrogen in German Residential Buildings


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

African Arowana Genome Provides Insights on Ancient Teleost Evolution

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

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

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

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

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


CRU CL v. 2.0 Climatology Client for R


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

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

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


Succinct data structures in C/C++

PTHash: Revisiting FCH Minimal Perfect Hashing

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

Parallel and External-Memory Construction of Minimal Perfect Hash Functions With PTHash

Rank/Select Queries over Mutable Bitmaps


Sandbox for celestial mechanics calculations

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

Monthly notices of the Royal Astronomical Society

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


An R package wrapping the US Energy Information Administration open data API.


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


Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for the official development version, and https://dsrobertson.github.io/onlineFDR/ for easy access to documentation.

On Online Control of False Discovery Rate

Asynchronous Online Testing of Multiple Hypotheses

Online control of the familywise error rate


Read Until client library for Nanopore Sequencing

SquiggleFilter: An Accelerator for Portable Virus Detection

Barcode aware adaptive sampling for GridION and PromethION Oxford Nanopore sequencers

Benchmarking microbial DNA enrichment protocols from human intestinal biopsies

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


Scripts for reproducing analyses of large RNA-seq datasets

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

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

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

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

Human splicing diversity across the Sequence Read Archive


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


PacBio Assembly Tool Suite: Reads in ⇨ Assembly out

Spatial inter-centromeric interactions facilitated the emergence of evolutionary new centromeres

Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes

Population Genomic Approaches for Weed Science


Open-source software for intracranial electrode localization and visualization

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

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

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

Prestimulus amygdala spectral activity is associated with visual face awareness


A framework for high-level Analysis of Ethereum Bytecode

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

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

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

Smart Contract Vulnerability Detection Technique: A Survey

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

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

SAFEVM: A Safety Verifier for Ethereum Smart Contracts

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


A collection of multi agent environments based on OpenAI gym.

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning

Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View

Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control

Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective

Learning to Ground Decentralized Multi-Agent Communication with Contrastive Learning

Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning

Fully Independent Communication in Multi-Agent Reinforcement Learning


Converting and demultiplexing of PacBio BAM files into gzipped fasta and fastq files.

Integrated Genomic Analysis Identifies UBTF Tandem Duplications as a Recurrent Lesion in Pediatric Acute Myeloid Leukemia

Sequencing of animal viruses: quality data assurance for NGS bioinformatics

Genome-wide evaluation of the effect of short tandem repeat variation on local DNA methylation

The genome sequence of Hirschfeldia incana, a new Brassicaceae model to improve photosynthetic light-use efficiency

The Plant journal : for cell and molecular biology

Reference Genome Sequences of the Oriental Armyworm, Mythimna separata (Lepidoptera: Noctuidae)


Geomorph is a software package for performing all stages of geometric morphometric shape analysis of landmark points and curves in 2-and-3-dimensions as well as 3D surfaces in the R statistical computing environment. This repository is dedicated to providing stable and beta versions between CRAN uploads

Photographic database of the European cave salamanders, genus Hydromantes

Integrative taxonomic revision of the Ethiopian endemic rodent genus Stenocephalemys (Muridae: Murinae: Praomyini) with the description of two new species

Updating salamander datasets with phenotypic and stomach content information for two mainland Speleomantes

3D Geometric Morphometrics Reveals Convergent Character Displacement in the Central European Contact Zone between Two Species of Hedgehogs (Genus Erinaceus)

Animals : an open access journal from MDPI

Common-garden comparison of relative survival and fitness-related traits of wild, farm, and hybrid Atlantic salmon Salmo salar parr in nature

Six new species of Pristimantis (Anura: Strabomantidae) from Llanganates National Park and Sangay National Park in Amazonian cloud forests of Ecuador

Better sturdy or slender? Eurasian otter skull plasticity in response to feeding ecology

The first Miocene fossils from coastal woodlands in the southern East African Rift

Bergmann’s Rule under Rocks: Testing the Influence of Latitude and Temperature on a Chiton from Mexican Marine Ecoregions


Pytorch implementation of the PVDN dataset.

Provident Detection of Vehicles at Night

Provident vehicle detection at night for advanced driver assistance systems

A Dataset for Provident Vehicle Detection at Night


Mulan Permissive Software License, Version 2

Aird format Conversion Client for Verdor File Conversion

Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time

Column storage enables edge computation of biological big data on 5G networks

Mathematical biosciences and engineering : MBE


Agrolib are a set of libraries for agrometeorological modeling and climate analysis. They include a numerical solution for three-dimensional water and heat flow in the soil, water balance, meteorological data interpolation, daily weather generator, radiation budget, snow accumulation and melt, plant development and plant water uptake.


Models for the spaCy Natural Language Processing (NLP) library

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction

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

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

Structural Supervision for Word Alignment and Machine Translation

Findings of the Association for Computational Linguistics: ACL 2022

LexSym: Compositionality as Lexical Symmetry


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

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


Model of nonverbal behavior for socio-emotional virtual characters

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

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

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

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

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

Proceedings of the CHI Conference on Human Factors in Computing Systems


Build and run Docker containers leveraging NVIDIA GPUs

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

3D whole brain segmentation using spatially localized atlas network tiles

Performance evaluation of container-based virtualization for high performance computing environments

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

Performance Evaluation of Deep Learning Tools in Docker Containers

Large-scale pancreatic cancer detection via non-contrast CT and deep learning

Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy

Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations

Boutiques: a flexible framework to integrate command-line applications in computing platforms


Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

A Survey of Deep Reinforcement Learning in Video Games

The Atari Grand Challenge Dataset

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning


Toy UK windstorm model


Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Distilling the Knowledge in a Neural Network

RoFormer: Enhanced Transformer with Rotary Position Embedding

GLU Variants Improve Transformer

A Comprehensive Analysis of Adapter Efficiency

An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models


Correctness and Fairness of Tendermint-core Blockchains

Dissecting Tendermint

A Tendermint Light Client

A Domain Specific Language for Testing Consensus Implementations

A case study on parametric verification of failure detectors


German and Polish COVID-19 Forecast Hub

Short-term forecasts to inform the response to the Covid-19 epidemic in the UK

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

Short-term forecasting of COVID-19 in Germany and Poland during the second wave - a preregistered study


⚠(OBSOLETE) Curated applications for Kubernetes

Container-based bioinformatics with Pachyderm

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

Portable Learning Environments for Hands-On Computational Instruction

Why is the LSST Science Platform built on Kubernetes?


[EOL] Compute Resource Usage Analysis and Monitoring of Container Clusters

Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration

Design, monitoring, and testing of microservices systems: The practitioners’ perspective

A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud Applications

SGX-Aware Container Orchestration for Heterogeneous Clusters

International Conference on Distributed Computing Systems

HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling

Detecting and Localizing Anomalies in Container Clusters Using Markov Models

CONSERVE: A framework for the selection of techniques for monitoring containers security

A Benchmarking application on Workload and Performance forecasting of micro services

Türk bilgisayar ve matematik eğitimi dergisi


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


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

UL2: Unifying Language Learning Paradigms

Rethinking Negative Instances for Generative Named Entity Recognition

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


Code for doubly stochastic gradients

Scalable Kernel Methods via Doubly Stochastic Gradients

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data

Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients


Recycling diverse models

Deep Hashing Network for Unsupervised Domain Adaptation

Deeper, Broader and Artier Domain Generalization

Recognition in Terra Incognita

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Diverse Weight Averaging for Out-of-Distribution Generalization

Fusing finetuned models for better pretraining

Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization


Tackling Climate Change with Machine Learning

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

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


Framework for training and evaluating self-supervised learning methods for speaker verification.

Representation Learning with Contrastive Predictive Coding

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Delving into VoxCeleb: environment invariant speaker recognition

Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning

Experimenting with Additive Margins for Contrastive Self-Supervised Speaker Verification


[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


PyTorch implementation of Constrained Policy Optimization

Constrained Policy Optimization

ConBaT: Control Barrier Transformer for Safe Policy Learning

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming


Global dominance of tectonics over climate in shaping river longitudinal profiles

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

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

Flexible spatio-temporal Hawkes process models for earthquake occurrences

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

Natural hazards and earth system sciences

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

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


Tools to download and process name data from various sources.

Quantitative evaluation of gender bias in astronomical publications from citation counts

Demographer: Extremely Simple Name Demographics

The Nonbinary Fraction: Looking Towards the Future of Gender Equity in Astronomy

Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing

Dataset for studying gender disparity in English literary texts


Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence

DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder

A Unified View of Differentially Private Deep Generative Modeling

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase


Cluttered MNIST Dataset

Pay Attention to the Activations: A Modular Attention Mechanism for Fine-Grained Image Recognition

First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks

Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery

A Reinforcement Learning Approach for Sequential Spatial Transformer Networks

Spatial Transformer Networks for Curriculum Learning


Data splits for the NAACL 2016 paper

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

Speaker-change Aware CRF for Dialogue Act Classification

Multi-level Gated Recurrent Neural Network for Dialog Act Classification


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

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

RoFormer: Enhanced Transformer with Rotary Position Embedding

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models


Tensorflow implementation for the SVGP-VAE model.

Gaussian Processes for Big Data

Gaussian Process Prior Variational Autoencoders

Sparse Gaussian Process Variational Autoencoders


Official implementation of MINDE: Mutual Information Neural Diffusion Estimation

Beyond Normal: On the Evaluation of Mutual Information Estimators


LLaMA: Open and Efficient Foundation Language Models

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering


Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Tent: Fully Test-time Adaptation by Entropy Minimization

Towards Stable Test-Time Adaptation in Dynamic Wild World

EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

DELTA: degradation-free fully test-time adaptation

Feature Alignment and Uniformity for Test Time Adaptation

RDumb: A simple approach that questions our progress in continual test-time adaptation

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization


Amino acid embedding and Convolutional Neural Network for HLA Class I-peptide binding prediction

Predicting Antigen Presentation—What Could We Learn From a Million Peptides?

HLA class I binding prediction via convolutional neural networks

sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides


In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.

Design and Implementation of Traffic Generation Model and Spectrum Requirement Calculator for Private 5G Network

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions

Modeling and Analysis of mMTC Traffic in 5G Base Stations


A wind turbine digital twin based on YAMS

Augmented Kalman filter with a reduced mechanical model to estimate tower loads on a land-based wind turbine: a step towards digital-twin simulations

A digital twin based on OpenFAST linearizations for real-time load and fatigue estimation of land-based turbines

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

Flexible multibody dynamics using joint coordinates and the Rayleigh‐Ritz approximation: The general framework behind and beyond Flex


Machine Learning for photo-Z

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Monthly Notices of the Royal Astronomical Society

Anomaly detection for machine learning redshifts applied to SDSS galaxies

Photometric redshift uncertainties in weak gravitational lensing shear analysis: models and marginalization

Galaxy blending effects in deep imaging cosmic shear probes of cosmology

Three-dimensional Reconstruction of Weak-lensing Mass Maps with a Sparsity Prior. I. Cluster Detection


Knowledge-based Identification of Pathway Enzymes (KIPEs) performs an automatic annotation of the flavonoid biosynthesis steps in a new transcriptome of genome sequence assembly.

Automatic Identification of Players in the Flavonoid Biosynthesis with Application on the Biomedicinal Plant Croton tiglium

Metabolite Profiling and Transcriptome Analysis Provide Insight into Seed Coat Color in Brassica juncea

International journal of molecular sciences

Transcriptome Sequence Reveals Candidate Genes Involving in the Post-Harvest Hardening of Trifoliate Yam Dioscorea dumetorum

KIPEs3: Automatic annotation of biosynthesis pathways

Integrative Analysis of Metabolome and Transcriptome Identifies Potential Genes Involved in the Flavonoid Biosynthesis in Entada phaseoloides Stem


TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

Decoupled Weight Decay Regularization

mixup: Beyond Empirical Risk Minimization

Big Transfer (BiT): General Visual Representation Learning

Knowledge distillation: A good teacher is patient and consistent


One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework

The DeepFake Detection Challenge (DFDC) Dataset

A Convolutional LSTM based Residual Network for Deepfake Video Detection

How Generalizable are Deepfake Image Detectors? An Empirical Study


The carbon footprint models used by carbonfact.co


Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS International Journal of Geo-Information

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer

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


Cantù Lab @ UC Davis - Annotation pipeline - EVM based

Introgression among North American wild grapes (Vitis) fuels biotic and abiotic adaptation

HiFi chromosome-scale diploid assemblies of the grape rootstocks 110R, Kober 5BB, and 101-14 Mgt


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

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

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

Quadruply Stochastic Gaussian Processes

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


Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey

A Corpus for Understanding and Generating Moral Stories


Code for text augmentation method leveraging large-scale language models

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

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

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract
  Descriptions


Privacy-preserving Voice Analysis via Disentangled Representations

Paralinguistic Privacy Protection at the Edge

Configurable Privacy-Preserving Automatic Speech Recognition

A Tandem Framework Balancing Privacy and Security for Voice User Interfaces


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

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

Fixing Data Augmentation to Improve Adversarial Robustness

International Conference on Machine Learning

Efficient and Effective Augmentation Strategy for Adversarial Training

Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning

IEEE Transactions on Information Forensics and Security

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems


Korean Parallel Corpus

Natural Language Understanding with Distributed Representation

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

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

Meeting of the Association for Computational Linguistics


My (small) research project in solubility of drug-like molecules

Convolutional Networks on Graphs for Learning Molecular Fingerprints

Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules

Journal of chemical information and modeling

Is Experimental Data Quality the Limiting Factor in Predicting the Aqueous Solubility of Druglike Molecules?

Can human experts predict solubility better than computers?

Binary Classification of Aqueous Solubility Using Support Vector Machines with Reduction and Recombination Feature Selection

Solubility Challenge Revisited after Ten Years, with Multilab Shake-Flask Data, Using Tight (SD ∼ 0.17 log) and Loose (SD ∼ 0.62 log) Test Sets

Findings of the Second Challenge to Predict Aqueous Solubility


A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

International Conference on Information and Knowledge Management

Graph-based Semi-supervised Learning: A Comprehensive Review

Predicting Attributes of Nodes Using Network Structure

ACM Transactions on Intelligent Systems and Technology

Seven-Layer Model in Complex Networks Link Prediction: A Survey


Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a reimplementation of Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022)

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation