A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game


A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation


A Tale of Two Circuits: Grokking as Competition of Sparse and Dense Subnetworks


A Tale of Two Communities: Exploring Academic References on Stack Overflow


A Tale of Two DL Cities: When Library Tests Meet Compiler


A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions


A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence


A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation


A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing


A Tale of Two Models: Constructing Evasive Attacks on Edge Models


A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications


A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type


A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning


A Targeted Accuracy Diagnostic for Variational Approximations


A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans


A Targeted Universal Attack on Graph Convolutional Network


A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting


A Task-Driven Multi-UAV Coalition Formation Mechanism


A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning


A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion


A Task-oriented Dialog Model with Task-progressive and Policy-aware Pre-training


A Taxation Perspective for Fair Re-ranking


A Taxonomy and Comparative Analysis of IPv4 ID Selection Correctness, Security, and Performance


A Taxonomy of Empathetic Response Intents in Human Social Conversations


A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning


A Taxonomy of Schema Changes for NoSQL Databases


A Teacher Is Worth A Million Instructions


A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation


A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation


A Temperature Change can Solve the Deutsch-Josza Problem : An Exploration of Thermodynamic Query Complexity


A Template-based Method for Constrained Neural Machine Translation


A Temporal Densely Connected Recurrent Network for Event-based Human Pose Estimation


A Temporal Difference Method for Stochastic Continuous Dynamics


A Temporal Graph Network Framework for Dynamic Recommendation


A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks


A Temporal Logic for Strategic Hyperproperties


A Temporal Variational Model for Story Generation


A Temporal-Difference Approach to Policy Gradient Estimation


A Temporal-Spectral Fusion Transformer with Subject-Specific Adapter for Enhancing RSVP-BCI Decoding


A Temporally-Aware Interpolation Network for Video Frame Inpainting


A Tensor Compiler for Unified Machine Learning Prediction Serving


A Tensor Decomposition Perspective on Second-order RNNs


A Tensor Factorization Method for 3D Super-Resolution with Application to Dental CT


A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification


A Tensor SVD-based Classification Algorithm Applied to fMRI Data


A Tensorized Transformer for Language Modeling


A Terminology and Quantitative Framework for Assessing the Habitability of Solar System and Extraterrestrial Worlds


A Test for Shared Patterns in Cross-modal Brain Activation Analysis


A Test of Relative Similarity For Model Selection in Generative Models


A Test of Time: Predicting the Sustainable Success of Online Collaboration in Wikipedia


A Tethered Quadrotor UAV$-$Buoy System for Marine Locomotion


A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution


A Text Classification-Based Approach for Evaluating and Enhancing the Machine Interpretability of Building Codes


A Text-based Approach For Link Prediction on Wikipedia Articles


A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation


A Textless Metric for Speech-to-Speech Comparison


A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix


A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition


A Theoretical Analysis of the Learning Dynamics under Class Imbalance


A Theoretical Analysis of the Repetition Problem in Text Generation


A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization


A Theoretical Case Study of Structured Variational Inference for Community Detection


A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations


A Theoretical Formulation of Many-body Message Passing Neural Networks


A Theoretical Framework for Inference Learning


A Theoretical Framework for Inference and Learning in Predictive Coding Networks


A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning


A Theoretical View of Linear Backpropagation and Its Convergence


A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image Restoration


A Theory for Conditional Generative Modeling on Multiple Data Sources


A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs


A Theory of Localized Excitations in Supercooled Liquids


A Theory of Second-Order Wireless Network Optimization and Its Application on AoI


A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results


A Theory of Unsupervised Speech Recognition


A Theory of Unsupervised Translation Motivated by Understanding Animal Communication


A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about Fluids


A Thesaurus for Common Priors in Gravitational-Wave Astronomy


A Third-Order Gaussian Process Trajectory Representation Framework with Closed-Form Kinematics for Continuous-Time Motion Estimation


A Thorough Examination of Decoding Methods in the Era of LLMs


A Thorough Investigation of Content-Defined Chunking Algorithms for Data Deduplication


A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems


A Threat Model for Soft Privacy on Smart Cars


A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation


A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation


A Three-dimensional tumor growth model and its boundary instability


A Threshold-based Scheme for Reinforcement Learning in Neural Networks


A Tidy Data Model for Natural Language Processing using cleanNLP


A Tighter Analysis of Spectral Clustering, and Beyond


A Tighter Convergence Proof of Reverse Experience Replay


A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction


A Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery


A Time-Frequency Generative Adversarial based method for Audio Packet Loss Concealment


A Time-Optimized Content Creation Workflow for Remote Teaching


A Time-Reversal Control Synthesis for Steering the State of Stochastic Systems


A Time-invariant Network Flow Model for Ride-pooling in Mobility-on-Demand Systems


A Time-invariant Network Flow Model for Two-person Ride-pooling Mobility-on-Demand


A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone


A Token-level Contrastive Framework for Sign Language Translation


A Tool for Automatic Estimation of Patient Position in Spinal CT Data


A Tool for Conducting User Studies on Mobile Devices


A Tool for Facilitating OCR Postediting in Historical Documents


A Tool for the Procedural Generation of Shaders using Interactive Evolutionary Algorithms


A Toolbox for Design of Experiments for Energy Systems in Co-Simulation and Hardware Tests


A Toolbox for the Radial and Angular Marginalization of Bivariate Normal Distributions


A Toolchain for Assisting Migration of Software Executables Towards Post-Quantum Cryptography


A Toolkit for Analyzing and Visualizing Online Users via Reshare Cascade Modeling


A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Crosslinguistic Case Study of Supplementary Adverbs


A Topic Coverage Approach to Evaluation of Topic Models


A Topological Approach for Semi-Supervised Learning


A Topological Approach to Compare Document Semantics Based on a New Variant of Syntactic N-grams


A Topological Approach to Gait Generation for Biped Robots


A Topological Centrality Measure for Directed Networks


A Topological Data Analysis Based Classifier


A Topological Data Analysis Framework for Quantifying Necrosis in Glioblastomas


A Topological Deep Learning Framework for Neural Spike Decoding


A Topological Nomenclature for 3D Shape Analysis in Connectomics


A Topological Perspective on Demystifying GNN-Based Link Prediction Performance


A Topological characterisation of Weisfeiler-Leman equivalence classes


A Topology-Attention ConvLSTM Network and Its Application to EM Images


A Topology-aware Analysis of Graph Collaborative Filtering


A Torelli Theorem for Graph Isomorphisms


A Touch of Evil: High-Assurance Cryptographic Hardware from Untrusted Components


A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations


A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention


A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration


A Training Data Recipe to Accelerate A* Search with Language Models


A Training Framework for Optimal and Stable Training of Polynomial Neural Networks


A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systems


A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot


A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI)


A Training-free Synthetic Data Selection Method for Semantic Segmentation


A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy


A Trajectory Calculus for Qualitative Spatial Reasoning Using Answer Set Programming


A Transductive Approach for Video Object Segmentation


A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images


A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles


A Transfer Matrix for the Input Impedance of weakly tapered Cones as of Wind Instruments


A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition


A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation


A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities


A Transformer-Based Approach for Smart Invocation of Automatic Code Completion


A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization


A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations


A Transformer-Based Siamese Network for Change Detection


A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification


A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit


A Transformer-based Neural Architecture Search Method


A Transformer-based Prediction Method for Depth of Anesthesia During Target-controlled Infusion of Propofol and Remifentanil


A Transformer-based Response Evaluator for Open-Domain Spoken Conversation


A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics


A Transient Thermal Model for Power Electronics Systems


A Transition-based Algorithm for Unrestricted AMR Parsing


A Transition-based Parser for Unscoped Episodic Logical Forms


A Transparent and Nonlinear Method for Variable Selection


A Tree-Structured Multi-Task Model Recommender


A Tree-based Decoder for Neural Machine Translation


A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources


A Tree-based Next-best-trajectory Method for 3D UAV Exploration


A Tree-based Semi-Varying Coefficient Model for the COM-Poisson Distribution


A Tree-guided CNN for image super-resolution


A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents


A Tri-Layer Plugin to Improve Occluded Detection


A Triangular Network For Density Estimation


A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning Training


A Truly Concurrent Semantics for Reversible CCS


A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity


A Trust-Aware and Cost-Optimized Blockchain Oracle Selection Model with Deep Reinforcement Learning


A Trust-Guided Approach to MR Image Reconstruction with Side Information


A Trustworthiness Score to Evaluate DNN Predictions


A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization


A Turbulent Heating Model Combining Diffusion and Advection Effects for Giant Planet Magnetospheres


A Turkish Educational Crossword Puzzle Generator


A Tutorial On Autonomous Vehicle Steering Controller Design, Simulation and Implementation


A Tutorial and Open Source Software for the Efficient Evaluation of Gravity and Magnetic Kernels


A Tutorial on Canonical Correlation Methods


A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis


A Tutorial on Multi-time Scale Optimization Models and Algorithms


A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies


A Tutorial on Quantum Convolutional Neural Networks (QCNN)


A Tutorial on Statistical Models Based on Counting Processes


A Tutorial on VAEs: From Bayes' Rule to Lossless Compression


A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection


A Twitter network and discourse analysis of the Rana Plaza collapse


A Two Level Neural Approach Combining Off-Chip Prediction with Adaptive Prefetch Filtering


A Two-Fold Patch Selection Approach for Improved 360-Degree Image Quality Assessment


A Two-Level Approximate Logic Synthesis Combining Cube Insertion and Removal


A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features


A Two-Level Linear Dependent Type Theory


A Two-Model Approach for Humour Style Recognition


A Two-Phase Infinite/Finite Low-Level Memory Model


A Two-Sided Matching Model for Data Stream Processing in the Cloud-Fog Continuum


A Two-Stage Adaptation of Large Language Models for Text Ranking


A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations


A Two-Stage Approach for Segmenting Spatial Point Patterns Applied to Multiplex Imaging


A Two-Stage Attentive Network for Single Image Super-Resolution


A Two-Stage Bayesian Semiparametric Model for Novelty Detection with Robust Prior Information


A Two-Stage Bayesian Small Area Estimation Approach for Proportions


A Two-Stage Decoder for Efficient ICD Coding


A Two-Stage Masked LM Method for Term Set Expansion


A Two-Stage Method for Chinese AMR Parsing


A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG$^{\textbf{2}}$+ Track 3


A Two-Stage Training Framework for Joint Speech Compression and Enhancement


A Two-Stage U-Net for High-Fidelity Denoising of Historical Recordings


A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis


A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction


A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras


A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance


A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning


A Two-dimensional Zero-shot Dialogue State Tracking Evaluation Method using GPT-4


A Two-point Method for PTZ Camera Calibration in Sports


A Two-stage Approach for Variable Selection in Joint Modeling of Multiple Longitudinal Markers and Competing Risk Outcomes


A Two-stage Joint Modeling Approach for Multiple Longitudinal Markers and Time-to-event Data


A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation


A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction


A Type D Asymmetric Simple Exclusion Process Generated by an Explicit Central Element of $\mathcal{U}_q(\mathfrak{so}_{10})$


A Type System to Ensure Non-Interference in ReScript


A Type and Scope Safe Universe of Syntaxes with Binding: Their Semantics and Proofs


A U-Net Based Discriminator for Generative Adversarial Networks


A U-statistic Approach to Hypothesis Testing for Structure Discovery in Undirected Graphical Models


A USB-controlled potentiostat/galvanostat for thin-film battery characterization


A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks


A Unified Agentic Framework for Evaluating Conditional Image Generation


A Unified Algebraic Perspective on Lipschitz Neural Networks


A Unified Algorithmic Framework for Dynamic Compressive Sensing


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


A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization


A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources


A Unified Approach for Multi-Granularity Search over Spatial Datasets


A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations


A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation


A Unified Approach to Emotion Detection and Task-Oriented Dialogue Modeling


A Unified Approach to Entity-Centric Context Tracking in Social Conversations


A Unified Approach to Interpreting and Boosting Adversarial Transferability


A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition


A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation


A Unified Batch Online Learning Framework for Click Prediction


A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks


A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging


A Unified CPU-GPU Protocol for GNN Training


A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression


A Unified Continual Learning Framework with General Parameter-Efficient Tuning


A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation


A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks


A Unified Debugging Approach via LLM-Based Multi-Agent Synergy


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


A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals


A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss


A Unified Dynamic Model for the Decomposition of Skin Conductance and the Inference of Sudomotor Nerve Activities


A Unified Encoder-Decoder Framework with Entity Memory


A Unified End-to-End Framework for Efficient Deep Image Compression


A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA


A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks


A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models


A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation


A Unified Framework for 3D Scene Understanding


A Unified Framework for Alternating Offline Model Training and Policy Learning


A Unified Framework for Causal Estimand Selection


A Unified Framework for Cluster Methods with Tensor Networks


A Unified Framework for Compressive Video Recovery from Coded Exposure Techniques


A Unified Framework for Connecting Noise Modeling to Boost Noise Detection


A Unified Framework for Domain Adaptive Pose Estimation


A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the Wild


A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning


A Unified Framework for Human-Allied Learning of Probabilistic Circuits


A Unified Framework for Implicit Sinkhorn Differentiation


A Unified Framework for Learned Sparse Retrieval


A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification


A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning


A Unified Framework for Multi-Domain CTR Prediction via Large Language Models


A Unified Framework for Multi-intent Spoken Language Understanding with prompting


A Unified Framework for Pun Generation with Humor Principles


A Unified Framework for Quantifying Privacy Risk in Synthetic Data


A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs


A Unified Framework for Rank-based Loss Minimization


A Unified Framework for Robots that Influence Humans over Long-Term Interaction


A Unified Framework for Slot based Response Generation in a Multimodal Dialogue System


A Unified Framework for Soft Threshold Pruning


A Unified Framework for Symmetry Handling


A Unified Framework for Synthesizing Multisequence Brain MRI via Hybrid Fusion


A Unified Framework for U-Net Design and Analysis


A Unified Framework of Surrogate Loss by Refactoring and Interpolation


A Unified Generative Framework for Aspect-Based Sentiment Analysis


A Unified Generative Framework for Various NER Subtasks


A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning


A Unified Hallucination Mitigation Framework for Large Vision-Language Models


A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs


A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation


A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models


A Unified Image-Dense Annotation Generation Model for Underwater Scenes


A Unified Inference Framework for Multiple Imputation Using Martingales


A Unified Invariant Learning Framework for Graph Classification


A Unified Lottery Ticket Hypothesis for Graph Neural Networks


A Unified Mammogram Analysis Method via Hybrid Deep Supervision


A Unified Meta-Learning Framework for Dynamic Transfer Learning


A Unified Method for Improved Inference in Random-effects Meta-analysis


A Unified Model for Cardinality Estimation by Learning from Data and Queries via Sum-Product Networks


A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness


A Unified Model for Multi-class Anomaly Detection


A Unified Model for Real-Time Systems: Symbolic Techniques and Implementation


A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units


A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis


A Unified Model of Feature Extraction and Clustering for Spike Sorting


A Unified Multi-Scale Attention-Based Network for Automatic 3D Segmentation of Lung Parenchyma & Nodules In Thoracic CT Images


A Unified Multi-Task Semantic Communication System for Multimodal Data


A Unified Multi-Wavelength Data Analysis Workflow with gammapy. Constraining the Broadband Emission of FSRQ OP 313


A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection


A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems


A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition


A Unified Nanopublication Model for Effective and User-Friendly Access to the Elements of Scientific Publishing


A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss


A Unified Object Counting Network with Object Occupation Prior


A Unified Object Motion and Affinity Model for Online Multi-Object Tracking


A Unified One-Step Solution for Aspect Sentiment Quad Prediction


A Unified Particle-Based Solver for Non-Newtonian Behaviors Simulation


A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models


A Unified Point-Based Framework for 3D Segmentation


A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling


A Unified Post-Processing Framework for Group Fairness in Classification


A Unified Probabilistic Approach to Traffic Conflict Detection


A Unified Pyramid Recurrent Network for Video Frame Interpolation


A Unified Query-based Paradigm for Camouflaged Instance Segmentation


A Unified Representation Framework for the Evaluation of Optical Music Recognition Systems


A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning


A Unified Spatially Coupled Code Design: Threshold, Cycles, and Locality


A Unified Speaker Adaptation Approach for ASR


A Unified Spectral Approach for Quasinormal Modes of Lee-Wick Black Holes


A Unified Stability Analysis of Safety-Critical Control using Multiple Control Barrier Functions


A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review


A Unified Substrate for Body-Brain Co-evolution


A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges


A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games


A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion


A Unified Theory of Diversity in Ensemble Learning


A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs


A Unified Three-State Model Framework for Analysis of Treatment Crossover in Survival Trials


A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection


A Unified Trapezoidal Quadrature Method for Singular and Hypersingular Boundary Integral Operators on Curved Surfaces


A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation


A Unified Understanding of Minimum Lattice Thermal Conductivity


A Unified View of Evaluation Metrics for Structured Prediction


A Unified View of cGANs with and without Classifiers


A Unified View on Graph Neural Networks as Graph Signal Denoising


A Unified Wasserstein Distributional Robustness Framework for Adversarial Training


A Unified and General Framework for Continual Learning


A Uniform Framework for Anomaly Detection in Deep Neural Networks


A Uniform Language to Explain Decision Trees


A Uniform Sampling Procedure for Abstract Triangulations of Surfaces


A Unifying Formal Approach to Importance Values in Boolean Functions


A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology


A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation


A Unifying Framework for Interpolatory $\mathcal{L}_2$-optimal Reduced-order Modeling


A Unifying Framework of Attention-based Neural Load Forecasting


A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations


A Unifying Model of Information Loss in Communication Across Populations


A Unifying Modeling Abstraction for Infinite-Dimensional Optimization


A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems


A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits


A Unifying Variational Framework for Gaussian Process Motion Planning


A Uniqueness Theorem for Incompressible Fluid Flows with Straight Streamlines


A Unitarity Approach to Two-Loop All-Plus Rational Terms


A Unitary Transform Based Generalized Approximate Message Passing


A Universal Adversarial Policy for Text Classifiers


A Universal Analytic Model for Gravitational Lensing by Self-Interacting Dark Matter Halos


A Universal Discriminator for Zero-Shot Generalization


A Universal Formulation for Path-Parametric Planning and Control


A Universal Framework for Compressing Embeddings in CTR Prediction


A Universal Framework for Reconstructing Complex Networks and Node Dynamics from Discrete or Continuous Dynamics Data


A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification


A Universal Metric of Dataset Similarity for Cross-silo Federated Learning


A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models


A Universal Quantum Algorithm for Weighted Maximum Cut and Ising Problems


A Universal Question-Answering Platform for Knowledge Graphs


A Universal Representation Transformer Layer for Few-Shot Image Classification


A Universal System for OpenID Connect Sign-ins with Verifiable Credentials and Cross-Device Flow


A Universal Technique for Machine-Certified Proofs of Linearizable Algorithms


A Universe of Sound: Processing NASA Data into Sonifications to Explore Participant Response


A Usage-centric Take on Intent Understanding in E-Commerce


A User's Guide to Calibrating Robotics Simulators


A User's Guide to Extracting Cosmological Information from Line-Intensity Maps


A User-Centered Evaluation of Spanish Text Simplification


A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models


A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis


A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning


A User-centered Security Evaluation of Copilot


A V2X-based Privacy Preserving Federated Measuring and Learning System


A VAE Approach to Sample Multivariate Extremes


A VLBI Software Correlator for Fast Radio Transients


A Vacuum-Compatible Cylindrical Inertial Rotation Sensor with Picoradian Sensitivity


A Variance Maximization Criterion for Active Learning


A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization


A Variance-aware Multiobjective Louvain-like Method for Community Detection in Multiplex Networks


A Variational Approach for Learning from Positive and Unlabeled Data


A Variational Approach to Assess Reaction Coordinates for Two-Step Crystallisation


A Variational Approach to Bayesian Phylogenetic Inference


A Variational Approach to Privacy and Fairness


A Variational Approach to Unique Determinedness in Pure-state Tomography


A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification


A Variational Autoencoder for Heterogeneous Temporal and Longitudinal Data


A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer


A Variational Edge Partition Model for Supervised Graph Representation Learning


A Variational Framework for Improving Naturalness in Generative Spoken Language Models


A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction


A Variational Hierarchical Model for Neural Cross-Lingual Summarization


A Variational Inequality Perspective on Generative Adversarial Networks


A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning


A Variational Information Bottleneck Approach to Multi-Omics Data Integration


A Variational Perspective on Solving Inverse Problems with Diffusion Models


A Variational Prosody Model for the decomposition and synthesis of speech prosody


A Variational Spike-and-Slab Approach for Group Variable Selection


A Variational Time Series Feature Extractor for Action Prediction


A Variational U-Net for Weather Forecasting


A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction


A Vector Monotonicity Assumption for Multiple Instruments


A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech


A Vector Representation for Phylogenetic Trees


A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid


A Versatile Dataset of Agile Open Source Software Projects


A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation


A Versatile Framework for Multi-scene Person Re-identification


A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management


A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot


A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing


A Video-grounded Dialogue Dataset and Metric for Event-driven Activities


A View From Somewhere: Human-Centric Face Representations


A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective


A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks


A Virtual Reality Training System for Automotive Engines Assembly and Disassembly


A Virtual Reality-based Training and Assessment System for Bridge Inspectors with an Assistant Drone


A Visible-light Lyot Coronagraph for SCExAO/VAMPIRES


A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter


A Vision-Based Algorithm for a Path Following Problem


A Vision-Language Foundation Model for Leaf Disease Identification


A Vision-based Social Distancing and Critical Density Detection System for COVID-19


A Visual Active Search Framework for Geospatial Exploration


A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data Analysis


A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health Records


A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes


A Visual Analytics System for Profiling Urban Land Use Evolution


A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification


A Visual Modeling Method for Spatiotemporal and Multidimensional Features in Epidemiological Analysis: Applied COVID-19 Aggregated Datasets


A Visual Navigation Perspective for Category-Level Object Pose Estimation


A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments


A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation


A Vocoder Based Method For Singing Voice Extraction


A Voting-Based Blockchain Interoperability Oracle


A Voxel-based Approach for Simulating Microbial Decomposition in Soil: Comparison with LBM and Improvement of Morphological Models


A Vulnerability Study on Academic Collaboration Networks Based on Network Dynamics


A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning


A Walk-based Model on Entity Graphs for Relation Extraction


A Wall-time Minimizing Parallelization Strategy for Approximate Bayesian Computation


A Walsh Hadamard Derived Linear Vector Symbolic Architecture


A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter


A Wasserstein Minimax Framework for Mixed Linear Regression


A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models


A Wasserstein-type distance in the space of Gaussian Mixture Models


A Wasserstein-type metric for generic mixture models, including location-scatter and group invariant measures


A Watermark for Low-entropy and Unbiased Generation in Large Language Models


A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion


A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation


A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery


A Weakly Supervised Classifier and Dataset of White Supremacist Language


A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images


A Weakly Supervised Convolutional Network for Change Segmentation and Classification


A Weakly Supervised Dataset of Fine-Grained Emotions in Portuguese


A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation


A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topics


A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors


A Web Infrastructure for Certifying Multimedia News Content for Fake News Defense


A Web-Based Tool for Comparative Process Mining


A Web-Scale Analysis of the Community Origins of Image Memes


A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity


A Weibo Dataset for the 2022 Russo-Ukrainian Crisis


A Weibull Mixture Cure Frailty Model for High-dimensional Covariates


A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition


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


A Weighted Similarity Metric for Community Detection in Sparse Data


A Weighted-likelihood framework for class imbalance in Bayesian prediction models


A Whisper transformer for audio captioning trained with synthetic captions and transfer learning


A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models


A Wide Evaluation of ChatGPT on Affective Computing Tasks


A Wild Bootstrap for Degenerate Kernel Tests


A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models


A Windowed Mean Trajectory Approximation for Condensed Phase Dynamics


A Winner-Takes-All Mechanism for Event Generation


A Wireless Intrusion Detection System for 802.11 WPA3 Networks


A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification


A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits


A Workflow for Exploring Ligand Dissociation from a Macromolecule: Efficient Random Acceleration Molecular Dynamics Simulation and Interaction Fingerprints Analysis of Ligand Trajectories


A Workflow to Create a High-Quality Protein-Ligand Binding Dataset for Training, Validation, and Prediction Tasks


A Worldwide Look Into Mobile Access Networks Through the Eyes of AmiGos


A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning


A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering


A ZTF Search for Circumstellar Debris Transits in White Dwarfs: Six New Candidates, one with Gas Disk Emission, identified in a Novel Metric Space


A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education


A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding


A Zero-Shot Physics-Informed Dictionary Learning Approach for Sound Field Reconstruction


A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images


A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization


A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization


A bag-to-class divergence approach to multiple-instance learning


A bargain for mergesorts -- How to prove your mergesort correct and stable, almost for free


A basket trial design based on power priors


A benchmark dataset for deep learning-based airplane detection: HRPlanes


A benchmark for 2D foetal brain ultrasound analysis


A benchmark for toxic comment classification on Civil Comments dataset


A benchmark of categorical encoders for binary classification


A benchmark of data stream classification for human activity recognition on connected objects


A benchmark study on reliable molecular supervised learning via Bayesian learning


A bi-objective optimization model to plan vaccination campaigns


A biased random-key genetic algorithm for the home health care problem


A bibliometric analysis of citation diversity in accessibility and HCI research


A biconvex analysis for Lasso l1 reweighting


A biconvex method for minimum-time motion planning through sequences of convex sets


A big data approach towards sarcasm detection in Russian


A binary origin for the first isolated stellar-mass black hole detected with astrometric microlensing


A binned likelihood for stochastic models


A bio-inspired geometric model for sound reconstruction


A biologically plausible neural network for Slow Feature Analysis


A biology-driven deep generative model for cell-type annotation in cytometry


A black-box adversarial attack for poisoning clustering


A blended distance to define "people-like-me"


A block-random algorithm for learning on distributed, heterogeneous data


A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial Regression


A bootstrap test for equality of variances


A bootstrap test to detect prominent Granger-causalities across frequencies


A bottom-heavy initial mass function for the likely-accreted blue-halo stars of the Milky Way


A boundary-aware point clustering approach in Euclidean and embedding spaces for roof plane segmentation


A bounded-noise mechanism for differential privacy


A bridge between features and evidence for binary attribute-driven perfect privacy


A brief introduction to a framework named Multilevel Guidance-Exploration Network


A brief introduction to the diffusion Monte Carlo method and the fixed-node approximation


A broken duet: multistable dynamics of dyadic interactions


A budget-constrained inverse classification framework for smooth classifiers


A calibrated BISG for inferring race from surname and geolocation


A calibration test for evaluating set-based epistemic uncertainty representations


A case for using rotation invariant features in state of the art feature matchers


A case study of the profit-maximizing multi-vehicle pickup and delivery selection problem for the road networks with the integratable nodes


A catalog of newly identified star clusters in GAIA DR2


A catalogue of observed geo-effective CME/ICME characteristics


A categorisation and implementation of digital pen features for behaviour characterisation


A categorization of performance measures for estimated non-linear associations between an outcome and continuous predictors


A causal inference framework for cancer cluster investigations using publicly available data


A causal view of compositional zero-shot recognition


A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds


A cautious use of auxiliary outcomes for decision-making in randomized clinical trials


A census of 163 large-scale (>=10 pc), velocity-coherent filaments in inner Galactic plane: physical properties, dense gas fraction, and association with spiral arms


A census of genus 6 curves over $\mathbb{F}_2$


A central limit theorem concerning uncertainty in estimates of individual admixture


A cheap data assimilation approach for expensive numerical simulations


A chemo-dynamical link between the Gj\"oll stream and NGC 3201


A chemotaxis reaction-diffusion model for Multiple Sclerosis with Allee effect


A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling


A citizen science toolkit to collect human perceptions of urban environments using open street view images


A class of continuous non-associative algebras arising from algebraic groups including $E_8$


A class of count time series models uniting compound Poisson INAR and INGARCH models


A class of nonparametric methods for evaluating the effect of continuous treatments on survival outcomes


A class of orders with linear? time sorting algorithm


A class of two-sample nonparametric statistics for binary and time-to-event outcomes


A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural network


A classical density functional theory for solvation across length scales


A classification of Markoff-Fibonacci m-triples


A classification of metacyclic groups by group invariants


A clinically motivated self-supervised approach for content-based image retrieval of CT liver images


A close quasar pair in a disk-disk galaxy merger at z = 2.17


A closer look at the electromagnetic signatures of Bethe-Heitler pair production process in blazars


A closest point method library for PDEs on surfaces with parallel domain decomposition solvers and preconditioners


A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations


A clustering and graph deep learning-based framework for COVID-19 drug repurposing


A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methods


A clustering tool for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Models


A co-segmentation algorithm to predict emotional stress from passively sensed mHealth data


A code-driven tutorial on encrypted control: From pioneering realizations to modern implementations


A coevolutionary approach to deep multi-agent reinforcement learning


A cognitive neural architecture able to learn and communicate through natural language


A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules


A column generation algorithm with dynamic constraint aggregation for minimum sum-of-squares clustering


A combinatorial bound on the number of distinct eigenvalues of a graph


A combined full-reference image quality assessment approach based on convolutional activation maps


A common misapplication of statistical inference: nuisance control with null-hypothesis significance tests


A community-powered search of machine learning strategy space to find NMR property prediction models


A compact instrument for gamma-ray burst detection on a CubeSat platform I: Design drivers and expected performance


A compact neuromorphic system for ultra-energy-efficient, on-device robot localization


A comparative analysis of rank aggregation methods for the partial label ranking problem


A comparative evaluation and analysis of three generations of Distributional Semantic Models


A comparative evaluation of image-to-image translation methods for stain transfer in histopathology


A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT Denoising


A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial


A comparative study of Bitcoin and Ripple cryptocurrencies trading using Deep Reinforcement Learning algorithms


A comparative study of general fuzzy min-max neural networks for pattern classification problems


A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction


A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learning


A comparison between Bayesian and ordinary kriging based on validation criteria: application to radiological characterisation


A comparison between humans and AI at recognizing objects in unusual poses


A comparison of LSTM and GRU networks for learning symbolic sequences


A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking


A comparison of Vector Symbolic Architectures


A comparison of approaches to improve worst-case predictive model performance over patient subpopulations


A comparison of combined p-value functions for meta-analysis


A comparison of correspondence analysis with PMI-based word embedding methods


A comparison of generative deep learning methods for multivariate angular simulation


A comparison of methods for model selection when estimating individual treatment effects


A comparison of mixed precision iterative refinement approaches for least-squares problems


A comparison of non-matching techniques for the finite element approximation of interface problems


A comparison of nonlinear extensions to the ensemble Kalman filter: Gaussian Anamorphosis and Two-Step Ensemble Filters


A comparison of online search engine autocompletion in Google and Baidu


A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications


A comparison of several AI techniques for authorship attribution on Romanian texts


A comparison of shrinkage estimators of the cosmological precision matrix


A comparison of some conformal quantile regression methods


A comparison of strategies for selecting auxiliary variables for multiple imputation


A comparison of translation performance between DeepL and Supertext


A comparison of visual representations for real-world reinforcement learning in the context of vacuum gripping


A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research


A complex networks approach to ranking professional Snooker players


A complex-projected Rayleigh quotient iteration for targeting interior eigenvalues


A complex-scaled boundary integral equation for time-harmonic water waves


A compositional game to fairly divide homogeneous cake


A comprehensive analysis of concept drift locality in data streams


A comprehensive calculation of the Primakoff process and the solar axion flux


A comprehensive comparison of tools for fitting mutational signatures


A comprehensive correction of the Gaia DR3 XP spectra


A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability


A comprehensive framework for statistical testing of brain dynamics


A comprehensive guide for measuring total vanadium concentration and state of charge of vanadium electrolytes using UV-Visible spectroscopy


A comprehensive high-order solver verification methodology for free fluid flows


A comprehensive power spectral density analysis of astronomical time series I: the Fermi-LAT gamma-ray light curves of selected blazars


A comprehensive representation of selection at loci with multiple alleles that allows complex forms of genotypic fitness


A comprehensive review and new taxonomy on superpixel segmentation


A comprehensive simulation package for analysis of multilayer spintronic devices


A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks


A comprehensive study on fidelity metrics for XAI


A comprehensive survey of the home advantage in American football


A comprehensive survey on deep active learning in medical image analysis


A compressed dynamic self-index for highly repetitive text collections


A computational analysis on the relationship between melodic originality and thematic fame in classical music from the Romantic period


A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials


A computational framework for integrating Predictive processes with evidence Accumulation Models (PAM)


A computational framework for modeling cell-matrix interactions in soft biological tissues


A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic


A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge


A computational framework for weighted simplicial homology


A computational geometry method for the inverse scattering problem


A computational method to estimate spin-orbital interaction strength in solid state systems


A computational model for the evolution of learning physical micro-contents in peer instruction methodology


A computational model of serial and parallel processing in visual search


A computational psycholinguistic evaluation of the syntactic abilities of Galician BERT models at the interface of dependency resolution and training time


A computational study of the number of connected components of positive Thompson links


A computational tool for symbolic derivation of the small angle scattering from complex composite structures


A computational tool to characterize particle tracking measurements in optical tweezers


A computational view on the non-degeneracy invariant for Enriques surfaces


A computer verified, monadic, functional implementation of the integral


A concordance coefficient for lattice data: An application to poverty indices in Chile


A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators


A conditional one-output likelihood formulation for multitask Gaussian processes


A conformal test of linear models via permutation-augmented regressions


A conjectural asymptotic formula for multiplicative chaos in number theory


A conjugate subgradient algorithm with adaptive preconditioning for LASSO minimization


A consensus-based algorithm for non-convex multiplayer games


A consensus-based global optimization method with adaptive momentum estimation


A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images


A conservative Eulerian finite element method for transport and diffusion in moving domains


A constrained pressure-temperature residual (CPTR) method for non-isothermal multiphase flow in porous media


A construction of Einstein solvmanifolds not based on nilsolitons


A constructive approach to strengthen algebraic descriptions of function and operator classes


A context based deep learning approach for unbalanced medical image segmentation


A context-aware knowledge transferring strategy for CTC-based ASR


A continuation technique for maximum likelihood estimators in biological models


A continuous symmetry breaking measure for finite clusters using Jensen-Shannon divergence


A continuous-state cellular automata algorithm for global optimization


A continuum limit for dense spatial networks


A continuum mathematical model of substrate-mediated tissue growth


A continuum model for the elongation and orientation of Von Willebrand Factor with applications in arterial flow


A contour method for time-fractional PDEs and an application to fractional viscoelastic beam equations


A contraction-recursive algorithm for treewidth


A convex analysis approach to multi-material topology optimization


A convex analysis approach to optimal controls with switching structure for partial differential equations


A convex combination based primal-dual algorithm with linesearch for general convex-concave saddle point problems


A convex penalty for switching control of partial differential equations


A convolutional approach to reflection symmetry


A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications


A convolutional plane wave model for sound field reconstruction


A coordinate-free expression of plasma theory


A coplanar circumbinary protoplanetary disk in the TWA 3 triple M dwarf system


A copula-based boosting model for time-to-event prediction with dependent censoring


A copula-based visualization technique for a neural network


A core in a star-forming disc as evidence of inside-out growth in the early Universe


A core-halo pattern of entropy creation in gravitational collapse


A corrected transport-velocity formulation for fluid and structural mechanics with SPH


A correlation-based fuzzy cluster validity index with secondary options detector


A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions


A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings


A counterexample to Las Vergnas' strong map conjecture on realizable oriented matroids


A counterexample to Payne's nodal line conjecture with few holes


A coupled autoencoder approach for multi-modal analysis of cell types


A coupled cluster framework for electrons and phonons


A coupled high-accuracy phase-field fluid-structure interaction framework for Stokes fluid-filled fracture surrounded by an elastic medium


A coupled model of episodic warming, oxidation and geochemical transitions on early Mars


A covariance-enhanced approach to multi-tissue joint eQTL mapping with application to transcriptome-wide association studies


A covariant, discrete time-frequency representation tailored for zero-based signal detection


A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows


A critical evaluation of longitudinal proportional effect models


A critical examination of compound stability predictions from machine-learned formation energies


A critical look at the evaluation of GNNs under heterophily: Are we really making progress?


A critical reappraisal of predicting suicidal ideation using fMRI


A critical review of statistical calibration/prediction models handling data inconsistency and model inadequacy


A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition


A cross-platform analysis of polarization and echo chambers in climate change discussions


A crossover code for high-dimensional composition


A cusp-capturing PINN for elliptic interface problems


A cyclotomic family of thin hypergeometric monodromy groups in ${Sp}_4(\mathbb{R})$


A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information


A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering


A data-centric framework for crystal structure identification in atomistic simulations using machine learning


A data-dependent regularization method based on the graph Laplacian


A data-driven Koopman model predictive control framework for nonlinear flows


A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems


A data-driven biophysical network model reproduces C. elegans premotor neural dynamics


A data-driven econo-financial stress-testing framework to estimate the effect of supply chain networks on financial systemic risk


A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions


A data-driven proxy to Stoke's flow in porous media


A data-driven uncertainty modelling and reduction approach for energy optimisation problems


A data-enabled physics-informed neural network with comprehensive numerical study on solving neutron diffusion eigenvalue problems


A data-informed mean-field approach to mapping of cortical parameter landscapes


A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection


A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations


A database of basic numerical invariants of Hilbert modular surfaces


A database of genus 2 curves over the rational numbers


A database of upper limb surface electromyogram signals from demographically diverse individuals


A dataset for Audio-Visual Sound Event Detection in Movies


A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)


A dataset of direct observations of sea ice drift and waves in ice


A dataset of mentorship in science with semantic and demographic estimations


A dataset of questions on decision-theoretic reasoning in Newcomb-like problems


A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs


A decoder-only foundation model for time-series forecasting


A decomposition method for lasso problems with zero-sum constraint


A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- Part 2: time-to-event outcomes


A decomposition of light's spin angular momentum density


A decomposition-based approach for large-scale pickup and delivery problems


A deconstruction of methods to derive one-point lensing statistics


A decoupled, convergent and fully linear algorithm for the Landau--Lifshitz--Gilbert equation with magnetoelastic effects


A deep BSDE approach for the simultaneous pricing and delta-gamma hedging of large portfolios consisting of high-dimensional multi-asset Bermudan options


A deep active inference model of the rubber-hand illusion


A deep branching solver for fully nonlinear partial differential equations


A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks


A deep convolutional neural network that is invariant to time rescaling


A deep cut into Split Federated Self-supervised Learning


A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards


A deep learning approach for marine snow synthesis and removal


A deep learning approach for the computation of curvature in the level-set method


A deep learning approach to data-driven model-free pricing and to martingale optimal transport


A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks


A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents


A deep learning classifier for local ancestry inference


A deep learning model for data-driven discovery of functional connectivity


A deep learning pipeline for cross-sectional and longitudinal multiview data integration


A deep learning-based approach for identifying unresolved questions on Stack Exchange Q&A communities through graph-based communication modelling


A deep network for sinogram and CT image reconstruction


A deep perceptual metric for 3D point clouds


A deep primal-dual BSDE method for optimal stopping problems


A deep scalable neural architecture for soil properties estimation from spectral information


A deep search for decaying dark matter with XMM-Newton blank-sky observations


A deep solver for backward stochastic Volterra integral equations


A deep-learning search for technosignatures of 820 nearby stars


A default system with overspilling contagion


A denoised Mean Teacher for domain adaptive point cloud registration


A density estimation perspective on learning from pairwise human preferences


A description of the Zeta map on Dyck paths area sequences


A detailed simulation model for fifth generation district heating and cooling networks with seasonal latent storage evaluated on field data


A determinant-free method to simulate the parameters of large Gaussian fields


A device-independent protocol for XOR oblivious transfer


A diagrammatic method to compute the effective Hamiltonian of driven nonlinear oscillators


A didactic approach to quantum machine learning with a single qubit


A differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuits


A differentiable N-body code for transit timing and dynamical modelling -- II. Photodynamics


A differentiable binary microlensing model using adaptive contour integration method


A differentiable programming framework for spin models


A differentiable programming method for quantum control


A diffusion MRI model for random walks confined on cylindrical surfaces: Towards non-invasive quantification of myelin sheath radius


A diffusion-based spatio-temporal extension of Gaussian Matérn fields


A digital PID controller for stabilizing large electric currents to the ppm level for Feshbach resonance studies


A digital instrument simulator to optimize the development of hyperspectral systems: application for intraoperative functional brain mapping


A digital twin framework for civil engineering structures


A direct Jacobian total Lagrangian explicit dynamics finite element algorithm for real-time simulation of hyperelastic materials


A direct comparison of high-speed methods for the numerical Abel transform


A direct geometry processing cartilage generation method using segmented bone models from datasets with poor cartilage visibility


A disc wind model for blueshifts in quasar broad emission lines


A discontinuous Galerkin approach for atmospheric flows with implicit condensation


A discontinuous Galerkin discretization of elliptic problems with improved convergence properties using summation by parts operators


A discrete Schwarzian derivative via circle packing


A disk and no signatures of tidal distortion in the galaxy "lacking" dark matter NGC 1052-DF2


A distance for mixed-variable and hierarchical domains with meta variables


A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation


A diverse Multilingual News Headlines Dataset from around the World


A diversity-enhanced genetic algorithm for efficient exploration of parameter spaces


A divide and conquer sequential Monte Carlo approach to high dimensional filtering


A domain adaptation neural network for digital twin-supported fault diagnosis


A domain agnostic measure for monitoring and evaluating GANs


A domain splitting strategy for solving PDEs


A domain-specific language for describing machine learning datasets


A doubly stochastic matrices-based approach to optimal qubit routing


A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints


A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments


A dynamic extreme value model with applications to volcanic eruption forecasting


A dynamic factor model approach to incorporate Big Data in state space models for official statistics


A dynamic programming approach for generalized nearly isotonic optimization


A dynamical system model for predicting gene expression from the epigenome


A factorisation-aware Matrix element emulator


A family of finite element Stokes complexes in three dimensions


A fast C++ implementation of thermal functions


A fast algorithm for All-Pairs-Shortest-Paths suitable for neural networks


A fast algorithm for time-dependent radiative transport equation based on integral formulation


A fast analysis-based discrete Hankel transform using asymptotic expansions


A fast and accurate computation method for reflective diffraction simulations


A fast and convergent combined Newton and gradient descent method for computing steady states of chemical reaction networks


A fast and flexible algorithm for microstructure reconstruction combining simulated annealing and deep learning


A fast and memory-efficient algorithm for smooth interpolation of polyrigid transformations: application to human joint tracking


A fast and reliable method for the comparison of covariance matrices


A fast and robust recipe for modeling non-ideal MHD effects in star-formation simulations


A fast and simple modification of Newton's method helping to avoid saddle points


A fast approach for analyzing spatio-temporal patterns in ischemic heart disease mortality across US counties (1999-2021)


A fast asynchronous MCMC sampler for sparse Bayesian inference


A fast cosine transformation accelerated method for predicting effective thermal conductivity


A fast estimator for the bispectrum and beyond - A practical method for measuring non-Gaussianity in 21-cm maps


A fast marching algorithm for the factored eikonal equation


A fast minimal solver for absolute camera pose with unknown focal length and radial distortion from four planar points


A fast numerical method for max-convolution and the application to efficient max-product inference in Bayesian networks


A fast reduced order method for linear parabolic inverse source problems


A fast semi-analytical homogenization method for block heterogeneous media


A fast solver for the pseudo-two-dimensional model of lithium-ion batteries


A fast spectral method for electrostatics in doubly-periodic slit channels


A fast topological approach for predicting anomalies in time-varying graphs


A faster multipole Legendre-Chebyshev transform


A feature selection method based on Shapley values robust to concept shift in regression


A feature-based framework for detecting technical outliers in water-quality data from in situ sensors


A feedforward neural network for modelling of average pressure frequency response


A few-layer graphene nanomechanical resonator driven by digitally modulated video signals


A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationships


A fidelity-driven approach to quantum circuit partitioning via weighted hypergraphs for noise-resilient computation


A fine-grained comparison of pragmatic language understanding in humans and language models


A fine-tuning workflow for automatic first-break picking with deep learning


A finite difference method with symmetry properties for the high-dimensional Bratu equation


A finite difference scheme for integrating the Takagi-Taupin equations on an arbitrary orthogonal grid


A finite element method for simulating soft active non-shearable rods immersed in generalized Newtonian fluids


A finite-infinite shared atoms nested model for the Bayesian analysis of large grouped data


A finiteness theorem for specializations of dynatomic polynomials


A first-order optimization algorithm for statistical learning with hierarchical sparsity structure


A first-order primal-dual algorithm with linesearch


A first-principles thermodynamic model for the Ba$\unicode{x2013}$Zr$\unicode{x2013}$S system in equilibrium with sulfur vapour


A fit-less approach to the elasticity of the handles in optical tweezers experiments


A fitting algorithm for optimizing ion implantation energies and fluences


A flat persistence diagram for improved visualization of persistent homology


A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding


A flexible EM-like clustering algorithm for noisy data


A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings


A flexible class of priors for orthonormal matrices with basis function-specific structure


A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression


A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data


A flexible model for training action localization with varying levels of supervision


A flexible model-based framework for robust estimation of mutational signatures


A flexible model-free prediction-based framework for feature ranking


A flexible parametric approach to synthetic patients generation using health data


A flow-based IDS using Machine Learning in eBPF


A fluid simulation system based on the MPS method


A flux-differencing formulation with Gauss nodes


A forensic analysis of the Google Home: repairing compressed data without error correction


A formal model of Algorand smart contracts


A formalization of Borel determinacy in Lean


A formula for the area of a triangle: Useless, but explicitly in Deep Sets form


A forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction


A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers


A forward-modelling approach to overcome PSF smearing and fit flexible models to the chemical structure of galaxies


A foundation for exact binarized morphological neural networks


A foundation model with multi-variate parallel attention to generate neuronal activity


A fourth-order exponential time differencing scheme with dimensional splitting for non-linear reaction-diffusion systems


A fractal dimension for measures via persistent homology


A fractional Hawkes process II: Further characterization of the process


A fractional approach to study the pure-temporal Epidemic Type Aftershock Sequence (ETAS) process for earthquakes modeling


A fractional stochastic theory for interfacial polarization of cell aggregates


A frame-based representation of genomic sequences for removing errors and rare variant detection in NGS data


A framework for (under)specifying dependency syntax without overloading annotators


A framework for annotating and modelling intentions behind metaphor use


A framework for benchmarking class-out-of-distribution detection and its application to ImageNet


A framework for causal segmentation analysis with machine learning in large-scale digital experiments


A framework for constrained static state estimation in unbalanced distribution networks


A framework for deep learning emulation of numerical models with a case study in satellite remote sensing


A framework for estimating and visualising excess mortality during the COVID-19 pandemic


A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps


A framework for interpretation and testing of sparse canonical correlations


A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks


A framework for leveraging machine learning tools to estimate personalized survival curves


A framework for optimisation based stochastic process discovery


A framework for probabilistic weather forecast post-processing across models and lead times using machine learning


A framework for reinforcement learning with autocorrelated actions


A framework for second order eigenvector centralities and clustering coefficients


A framework for simulation and inversion in electromagnetics


A framework to decipher the genetic architecture of combinations of complex diseases: applications in cardiovascular medicine


A framework to determine micro-level population figures using spatially disaggregated population estimates


A framework to semantify BPMN models using DEMO business transaction pattern


A free web service for fast COVID-19 classification of chest X-Ray images


A frequentist local false discovery rate


A frequentist test of proportional colocalization after selecting relevant genetic variants


A fresh look at introductory data science


A friendly introduction to triangular transport


A full approximation scheme multilevel method for nonlinear variational inequalities


A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms


A fully adaptive, high-order, fast Poisson solver for complex two-dimensional geometries


A fully coupled numerical model of thermo-hydro-mechanical processes and fracture contact mechanics in porous media


A fully differentiable GNN-based PDE Solver: With Applications to Poisson and Navier-Stokes Equations


A fully differentiable ligand pose optimization framework guided by deep learning and traditional scoring functions


A fully differentiable model for unsupervised singing voice separation


A fully nonlinear Feynman-Kac formula with derivatives of arbitrary orders


A fully recurrent feature extraction for single channel speech enhancement


A function space perspective on stochastic shape evolution


A functional regression model for heterogeneous BioGeoChemical Argo data in the Southern Ocean


A functional scripting interface to an object oriented C++ library


A functional-data approach to the Argo data


A fuzzy loss for ontology classification


A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets


A galaxy-free phenomenological model for the 21-cm power spectrum during reionization


A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning


A gating-and-inpainting perspective on GW150914 ringdown overtone: understanding the data analysis systematics


A general algorithm for calculating irreducible Brillouin zones


A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter


A general approach to enhance the survivability of backdoor attacks by decision path coupling


A general approach to maximise information density in neutron reflectometry analysis


A general basis set algorithm for galactic haloes and discs


A general characterization of optimal tie-breaker designs


A general class of surrogate functions for stable and efficient reinforcement learning


A general computational method for electron emission and thermal effects in field emitting nanotips


A general error analysis for randomized low-rank approximation methods


A general forcefield for accurate phonon properties of metal-organic frameworks


A general framework for active space embedding methods: applications in quantum computing


A general framework for ensemble distribution distillation


A general framework for implementing distances for categorical variables


A general framework for inference on algorithm-agnostic variable importance


A general framework for modeling and dynamic simulation of multibody systems using factor graphs


A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting


A general framework for probabilistic model uncertainty


A general framework for probabilistic sensitivity analysis with respect to distribution parameters


A general framework for rotation invariant point cloud analysis


A general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimization


A general framework for the rigorous computation of invariant densities and the coarse-fine strategy


A general framework of Riemannian adaptive optimization methods with a convergence analysis


A general graph-based framework for top-N recommendation using content, temporal and trust information


A general language model for peptide identification


A general learning scheme for classical and quantum Ising machines


A general method for assessing the origin of interstellar small bodies: the case of 1I/2017 U1 ('Oumuamua)


A general method for estimating the prevalence of Influenza-Like-Symptoms with Wikipedia data


A general modeling and simulation framework for dynamic vehicle routing


A general reduced-order neural operator for spatio-temporal predictive learning on complex spatial domains


A general representation of dynamical systems for reservoir computing


A general technique for the estimation of farm animal body part weights from CT scans and its applications in a rabbit breeding program


A general theoretical scheme for shape-programming of incompressible hyperelastic shells through differential growth


A general theory of linear cosmological perturbations: stability conditions, the quasistatic limit and dynamics


A general, flexible and harmonious framework to construct interpretable functions in regression analysis


A general-purpose material property data extraction pipeline from large polymer corpora using Natural Language Processing


A general-purpose single-photon-based quantum computing platform


A generalisable data-augmented turbulence model with progressive and interpretable corrections


A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans


A generalised framework for detailed classification of swimming paths inside the Morris Water Maze


A generalised significance test for individual communities in networks


A generalizable 3D framework and model for self-supervised learning in medical imaging


A generalizable framework for low-rank tensor completion with numerical priors


A generalization of the rational rough Heston approximation


A generalized bootstrap procedure of the standard error and confidence interval estimation for inverse probability of treatment weighting


A generalized conditional gradient method for dynamic inverse problems with optimal transport regularization


A generalized conditional gradient method for multiobjective composite optimization problems


A generalized hypothesis test for community structure in networks


A generalized likelihood based Bayesian approach for scalable joint regression and covariance selection in high dimensions


A generalized likelihood-weighted optimal sampling algorithm for rare-event probability quantification


A generalized linear joint trained framework for semi-supervised learning of sparse features


A generalized method toward drug-target interaction prediction via low-rank matrix projection


A generalized precession parameter $χ_\mathrm{p}$ to interpret gravitational-wave data


A generalized quadratic estimate for random field nonstationarity


A generalized simplicial model and its application


A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections


A generative adversarial network approach to calibration of local stochastic volatility models


A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture


A generative flow for conditional sampling via optimal transport


A generative model for Gaia astrometric orbit catalogs: selection functions for binary stars, giant planets, and compact object companions


A generative model for sparse, evolving digraphs


A generative model to synthetize spatio-temporal dynamics of biomolecules in cells


A generic Branch-and-Cut algorithm for bi-objective binary linear programs


A generic coordinate descent solver for nonsmooth convex optimization


A generic diffusion-based approach for 3D human pose prediction in the wild


A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation


A generic model for pandemics in networks of communities and the role of vaccination


A genetic algorithm to discover flexible motifs with support


A genetic algorithm to generate maximally orthogonal frames in complex space


A genetic algorithm to search the space of Ehrhart $h^*$-vectors


A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder


A geodesic interior-point method for linear optimization over symmetric cones


A geometric approach to Quillen's conjecture


A geometric based preprocessing for weighted ray transforms with applications in SPECT


A geometric linear Chabauty comparison theorem


A geometric multigrid library for quadtree/octree AMR grids coupled to MPI-AMRVAC


A geometric perspective on functional outlier detection


A geometrical summation method for the Riemann zêta function


A geometry-aware deep network for depth estimation in monocular endoscopy


A glass half full interpretation of the replicability of psychological science


A global similarity correction for the RANS modeling of natural convection in unstably stratified flows


A global-local approach for detecting hotspots in multiple-response regression


A golden ratio primal-dual algorithm for structured convex optimization


A goodness-of-fit diagnostic for count data derived from half-normal plots with a simulated envelope


A gradient flow approach for combined layout-control design of wave energy parks


A graph based workflow for extracting grain-scale toughness from meso-scale experiments


A graph convolutional autoencoder approach to model order reduction for parametrized PDEs


A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1


A graph representation of molecular ensembles for polymer property prediction


A graph-based approach for modification site assignment in proteomics


A graph-based approach to extracting narrative signals from public discourse


A graph-based spectral classification of Type II supernovae


A graph-transformer for whole slide image classification


A graphical method of cumulative differences between two subpopulations


A graphical, scalable and intuitive method for the placement and the connection of biological cells


A greedy anytime algorithm for sparse PCA


A greedy non-intrusive reduced order model for shallow water equations


A gridded establishment dataset as a proxy for economic activity in China


A group testing based exploration of age-varying factors in chlamydia infections among Iowa residents


A group theoretic perspective on entanglements of division fields


A guide to numerical dispersion curve calculations: explanation, interpretation and basic Matlab code


A guided edge-aware smoothing-sharpening filter based on patch interpolation model and generalized Gamma distribution


A guided intermediate resampling particle filter for inference on high dimensional systems


A halo model approach to describe clustering and emission of the two main star forming galaxy populations for Cosmic Infrared Background studies


A hands-on gaze on HTTP/3 security through the lens of HTTP/2 and a public dataset


A hands-on introduction to Physics-Informed Neural Networks for solving partial differential equations with benchmark tests taken from astrophysics and plasma physics


A harmonized and interoperable format for storing and processing polysomnography data


A hemispheric two-channel code accounts for binaural unmasking in humans


A heterogeneous group CNN for image super-resolution


A heuristic algorithm using tree decompositions for the maximum happy vertices problem


A heuristic approach to obtain signal envelope with a simple software implementation


A hidden Active Galactic Nuclei population: the first radio luminosity functions constructed by physical process


A hierarchical Bayesian model for estimating age-specific COVID-19 infection fatality rates in developing countries


A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets


A hierarchical Bayesian non-asymptotic extreme value model for spatial data


A hierarchical reserving model for reported non-life insurance claims


A hierarchical semantic segmentation framework for computer vision-based bridge damage detection


A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units


A hierarchy of spectral relaxations for polynomial optimization


A high-accuracy framework for phase-field fracture interface reconstructions with application to Stokes fluid-filled fracture surrounded by an elastic medium


A high-level C++ approach to manage local errors, asynchrony and faults in an MPI application


A high-order compact finite difference scheme and precise integration method based on modified Hopf-Cole transformation for numerical simulation of n-dimensional Burgers' system


A high-order fully Lagrangian particle level-set method for dynamic surfaces


A high-order implicit time integration method for linear and nonlinear dynamics with efficient computation of accelerations


A high-performance code for EPRL spin foam amplitudes


A high-precision interpolation method for pulsed radio signals from cosmic-ray air showers


A high-throughput ab initio study of elemental segregation and cohesion at ferritic-iron grain boundaries


A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al


A higher-order transformation approach to the formalization and analysis of BPMN using graph transformation systems


A hp-adaptive discontinuous Galerkin solver for elliptic equations in numerical relativity


A hybrid DEIM and leverage scores based method for CUR index selection


A hybrid Decoder-DeepONet operator regression framework for unaligned observation data


A hybrid Fourier--Real Gaussian Mixture method for fast galaxy--PSF convolution


A hybrid PML formulation for the 2D three-field dynamic poroelastic equations


A hybrid adaptive multiresolution approach for the efficient simulation of reactive flows


A hybrid algorithm for Bayesian network structure learning with application to multi-label learning


A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks


A hybrid approach to supervised machine learning for algorithmic melody composition


A hybrid approach to targeting social assistance


A hybrid deep learning approach for medical relation extraction


A hybrid ensemble method with negative correlation learning for regression


A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data


A hybrid inference system for improved curvature estimation in the level-set method using machine learning


A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing


A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data


A hybrid machine-learning algorithm for designing quantum experiments


A hybrid map-$C_\ell$ component separation method for primordial CMB $B$-mode searches


A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling


A hybrid numerical method for elastic wave propagation in discontinuous media with complex geometry


A hybrid optimal control problem constrained with hyperelasticity and the global injectivity condition


A hybrid parametric-deep learning approach for sound event localization and detection


A hybrid proximal generalized conditional gradient method and application to total variation parameter learning


A hybrid quantum algorithm to detect conical intersections


A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery


A hybrid systems framework for data-based adaptive control of linear time-varying systems


A hybrid time-frequency parametric modelling of medical ultrasound signal transmission


A hybrid-model approach for reducing the performance gap in building energy forecasting


A hybridizable discontinuous Galerkin method on unfitted meshes for single-phase Darcy flow in fractured porous media


A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise


A hyperbolic-elliptic PDE model and conservative numerical method for gravity-dominated variably-saturated groundwater flow


A hyperparameter-tuning approach to automated inverse planning


A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders


A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations


A joint Bayesian hierarchical model for estimating SARS-CoV-2 diagnostic and subgenomic RNA viral dynamics and seroconversion


A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data


A joint model of the individual mean and within-subject variability of a longitudinal outcome with a competing risks time-to-event outcome


A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes


A joint separation-classification model for sound event detection of weakly labelled data


A journey in ESN and LSTM visualisations on a language task


A k-swap Local Search for Makespan Scheduling


A kernel Stein test of goodness of fit for sequential models


A kernel-based quantum random forest for improved classification


A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification


A knowledge graph representation learning approach to predict novel kinase-substrate interactions


A knowledge-driven vowel-based approach of depression classification from speech using data augmentation


A labeled Clinical-MRI dataset of Nigerian brains


A language-inspired machine learning approach for solving strongly correlated problems with dynamical mean-field theory


A large dataset of software mentions in the biomedical literature


A large language model-assisted education tool to provide feedback on open-ended responses


A large scale prediction of bacteriocin gene blocks suggests a wide functional spectrum for bacteriocins


A large synthetic dataset for machine learning applications in power transmission grids


A large, crowdsourced evaluation of gesture generation systems on common data: The GENEA Challenge 2020


A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration


A large-scale dataset for end-to-end table recognition in the wild


A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations


A large-scale study on human-cloned changes for automated program repair


A large-scale study on research code quality and execution


A laser projection system for polymer transverse strain measurements in tensile testing


A laserball calibration device for the SNO+ scintillator phase


A latent linear model for nonlinear coupled oscillators on graphs


A latent variable approach to account for correlated inputs in global sensitivity analysis with cases from pharmacological systems modelling


A learning gap between neuroscience and reinforcement learning


A least squares approach to Whitney forms


A library of quantitative markers of seizure severity


A light neural network for modulation detection under impairments


A light-weight full-band speech enhancement model


A light-weight model to generate NDWI from Sentinel-1


A lightweight 3D dense facial landmark estimation model from position map data


A lightweight MapReduce framework for secure processing with SGX


A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features


A lightweight method for detecting dynamic target occlusions by the robot body


A lightweight multi-scale context network for salient object detection in optical remote sensing images


A lightweight semi-centralized strategy for the massive parallelization of branching algorithms


A likelihood ratio test for circular multimodality


A likelihood-based approach for multivariate categorical response regression in high dimensions


A linear adjustment based approach to posterior drift in transfer learning


A linear algorithm for Brick Wang tiling


A linear input dependence model for interdependent networks


A linear time method for the detection of point and collective anomalies


A linearized approach to radial velocity extraction


A linearly-implicit energy-momentum preserving scheme for geometrically nonlinear mechanics based on non-canonical Hamiltonian formulations


A little goes a long way: Improving toxic language classification despite data scarcity


A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment


A local and scalable lattice renormalization method for ballistic quantum computation


A local diagnostic program for unitary evolution in general space-times


A local-global principle in the dynamics of quadratic polynomials


A locally-conservative proximal Galerkin method for pointwise bound constraints


A location-scale joint model for studying the link between the time-dependent subject-specific variability of blood pressure and competing events


A logical framework with a graph meta-language


A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus


A logical word embedding for learning grammar


A logical-based corpus for cross-lingual evaluation


A long short-term memory embedding for hybrid uplifted reduced order models


A long spin period for a sub-Neptune-mass exoplanet


A long-period radio transient active for three decades


A long-range memory stochastic model of the return in financial markets


A longitudinal Bayesian framework for estimating causal dose-response relationships


A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models


A loss discounting framework for model averaging and selection in time series models


A low latency attention module for streaming self-supervised speech representation learning


A low multiplicative complexity fast recursive DCT-2 algorithm


A low variance consistent test of relative dependency


A low-memory Lanczos method with rational Krylov compression for matrix functions


A lower prevalence for recessive disorders in a random mating population is a transient phenomenon during and after a growth phase


A machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spread


A machine learning approach for computing solar flare locations in X-rays on-board Solar Orbiter/STIX


A machine learning approach to commutative algebra: Distinguishing table vs non-table ideals


A machine learning approach to fast thermal equilibration


A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest


A machine learning based algorithm selection method to solve the minimum cost flow problem


A machine learning photon detection algorithm for coherent X-ray ultrafast fluctuation analysis


A machine learning potential for simulating infrared spectra of nanosilicate clusters


A machine learning route between band mapping and band structure


A machine learning-based classification approach for phase diagram prediction


A machine learning-based tool for open cluster membership determination in Gaia DR3


A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content


A machine transliteration tool between Uzbek alphabets