A Graph Signal Processing Perspective of Network Multiple Hypothesis Testing with False Discovery Rate Control


A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model


A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction


A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer


A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks


A Graph-Based Approach for Category-Agnostic Pose Estimation


A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification


A Graph-Based Neural Model for End-to-End Frame Semantic Parsing


A Graph-Enhanced Click Model for Web Search


A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning


A Graph-based Methodology for the Sensorless Estimation of Road Traffic Profiles


A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing


A Graph-based Optimization Framework for Hand-Eye Calibration for Multi-Camera Setups


A Graph-based Relevance Matching Model for Ad-hoc Retrieval


A Graphical Approach to Treatment Effect Estimation with Observational Network Data


A Graphical Comparison of Screening Designs using Support Recovery Probabilities


A Graphical Framework to Study the Correlation between Geometric Design and Simulation


A Graphical Model for Fusing Diverse Microbiome Data


A Graphical Modeling Language for Artificial Intelligence Applications in Automation Systems


A Grassmann Manifold Handbook: Basic Geometry and Computational Aspects


A Greedy Algorithm for Quantizing Neural Networks


A Greedy Algorithm to Cluster Specialists


A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates


A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis


A Grid-based Approach for Convexity Analysis of a Density-based Cluster


A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot Layouts


A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning


A Grid-free Approach for Simulating Sweep and Cyclic Voltammetry


A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening


A Grounded Theory Based Approach to Characterize Software Attack Surfaces


A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages


A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining


A Group-Equivariant Autoencoder for Identifying Spontaneously Broken Symmetries


A Group-Specific Approach to NLP for Hate Speech Detection


A Group-Theoretic Framework for Data Augmentation


A Guide for Practical Use of ADMG Causal Data Augmentation


A Guide to Constraining Effective Field Theories with Machine Learning


A Guide to Feature Importance Methods for Scientific Inference


A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation


A Hamilton-Jacobi-based Proximal Operator


A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data


A Hand Motion-guided Articulation and Segmentation Estimation


A Hands-On Quantum Cryptography Workshop For Pre-University Students


A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation


A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound


A Henkin-style completeness proof for the modal logic S5


A Hessian for Gaussian Mixture Likelihoods in Nonlinear Least Squares


A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction


A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates


A Heuristic for Direct Product Graph Decomposition


A Heuristic for Reachability Problem in Asynchronous Binary Automata Networks


A Hidden Challenge of Link Prediction: Which Pairs to Check?


A Hierarchical Approach to Population Training for Human-AI Collaboration


A Hierarchical Approach to Scaling Batch Active Search Over Structured Data


A Hierarchical Architecture for Human-Robot Cooperation Processes


A Hierarchical Architecture for Neural Materials


A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning


A Hierarchical Assessment of Adversarial Severity


A Hierarchical Attention Model for Social Contextual Image Recommendation


A Hierarchical Bayes Ensemble Kalman Filter


A Hierarchical Bayesian Framework for Inferring the Stellar Obliquity Distribution


A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning


A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations


A Hierarchical Contextual Attention-based GRU Network for Sequential Recommendation


A Hierarchical Deep Learning Approach for Minority Instrument Detection


A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities


A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization


A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents


A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks


A Hierarchical Framework for Relation Extraction with Reinforcement Learning


A Hierarchical Grouping Algorithm for the Multi-Vehicle Dial-a-Ride Problem


A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis


A Hierarchical Location Normalization System for Text


A Hierarchical Model for Data-to-Text Generation


A Hierarchical N-Gram Framework for Zero-Shot Link Prediction


A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom Settings


A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data


A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists


A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object Detection


A Hierarchical-DBSCAN Method for Extracting Microservices from Monolithic Applications


A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information


A High Throughput Generative Vector Autoregression Model for Stochastic Synapses


A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets


A High-Caliber View of the Bullet Cluster Through JWST Strong and Weak Lensing Analyses


A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays


A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities


A High-Force Gripper with Embedded Multimodal Sensing for Powerful and Perception Driven Grasping


A High-Level LTL Synthesis Format: TLSF v1.1


A High-Level Track Fusion Scheme for Circular Quantities


A High-Order Variational Multiscale Approach to Turbulence for Compact Nodal Schemes


A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network


A High-Performant Multi-Parametric Quadratic Programming Solver


A High-Quality Robust Diffusion Framework for Corrupted Dataset


A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation


A High-Throughput and Data-Driven Computational Framework for Novel Quantum Materials


A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing


A Higher Radix Architecture for Quantum Carry-lookahead Adder


A Higher-Order Generalized Singular Value Decomposition for Rank Deficient Matrices


A Higher-Order Semantic Dependency Parser


A Higher-Order Temporal H-Index for Evolving Networks


A Higher-order Hybridisable Discontinuous Galerkin IMEX method for the incompressible Euler equations


A Highly Accurate Query-Recovery Attack against Searchable Encryption using Non-Indexed Documents


A Highly Eccentric Warm Jupiter Orbiting TIC 237913194


A Highly Granular Temporary Migration Dataset Derived From Mobile Phone Data in Senegal


A Highly Scalable, Hybrid, Cross-Platform Timing Analysis Framework Providing Accurate Differential Throughput Estimation via Instruction-Level Tracing


A History of Philosophy in Colombia through Topic Modelling


A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems


A Hitchhiker's Guide to Scaling Law Estimation


A Hitchhiker's Guide to Structural Similarity


A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning


A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization -- Extended Technical Report


A Holistic Approach for Equity-aware Carbon Reduction of Ridesharing Platforms


A Holistic Approach for Trustworthy Distributed Systems with WebAssembly and TEEs


A Holistic Approach to Predicting Top Quark Kinematic Properties with the Covariant Particle Transformer


A Holistic Approach to Undesired Content Detection in the Real World


A Holistic Framework for Analyzing the COVID-19 Vaccine Debate


A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning


A Holistic Visual Place Recognition Approach using Lightweight CNNs for Significant ViewPoint and Appearance Changes


A Hopf-Lax Type Formula for Multi-Agent Path Planning with Pattern Coordination


A Horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging


A Huber loss-based super learner with applications to healthcare expenditures


A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries


A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment


A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods


A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning


A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning


A Human-friendly Verbal Communication Platform for Multi-Robot Systems: Design and Principles


A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes


A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception


A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks


A Hybrid Algorithm for Computing a Partial Singular Value Decomposition Satisfying a Given Threshold


A Hybrid Algorithm for Period Analysis from Multi-band Data with Sparse and Irregular Sampling for Arbitrary Light Curve Shapes


A Hybrid Approach to Secure Function Evaluation Using SGX


A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery


A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation


A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization


A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising


A Hybrid CNN-BiLSTM Voice Activity Detector


A Hybrid Communication Approach for Metadata Exchange in Geo-Distributed Fog Environments


A Hybrid Continuity Loss to Reduce Over-Suppression for Time-domain Target Speaker Extraction


A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement


A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime


A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement Learning


A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction


A Hybrid GA LLM Framework for Structured Task Optimization


A Hybrid High-Order Method for the Gross--Pitaevskii Eigenvalue Problem


A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay


A Hybrid Millimeter-wave Channel Simulator for Joint Communication and Localization


A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots


A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning


A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension


A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks


A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems


A Hybrid Quantum Computing Pipeline for Real World Drug Discovery


A Hybrid Quantum-Classical Algorithm for Robust Fitting


A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer


A Hybrid Qubit Encoding: Splitting Fock Space into Fermionic and Bosonic Subspaces


A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning


A Hybrid SLAM and Object Recognition System for Pepper Robot


A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning


A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning


A Hybrid Strategy for Aggregated Probabilistic Forecasting and Energy Trading in HEFTCom2024


A Hybrid System for Systematic Generalization in Simple Arithmetic Problems


A Hybrid Transformer Architecture with a Quantized Self-Attention Mechanism Applied to Molecular Generation


A Hybrid Transformer-Mamba Network for Single Image Deraining


A Hybrid Variational Autoencoder for Collaborative Filtering


A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction


A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints


A Hypernetwork-Based Approach to KAN Representation of Audio Signals


A Hyperspectral Imaging Dataset and Methodology for Intraoperative Pixel-Wise Classification of Metastatic Colon Cancer in the Liver


A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models


A JIT Compiler for Neural Network Inference


A Jacobian-free Newton-Krylov method for cell-centred finite volume solid mechanics


A Jailbroken GenAI Model Can Cause Substantial Harm: GenAI-powered Applications are Vulnerable to PromptWares


A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP


A Java Implementation of Parameter-less Evolutionary Algorithms


A Java Implementation of the SGA, UMDA, ECGA, and HBOA


A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning


A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition


A Joint Detection-Classification Model for Audio Tagging of Weakly Labelled Data


A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation


A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret


A Joint Inversion-Segmentation approach to Assisted Seismic Interpretation


A Joint Learning Framework for Bridging Defect Prediction and Interpretation


A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation


A Joint Learning Model with Variational Interaction for Multilingual Program Translation


A Joint Learning and Communications Framework for Federated Learning over Wireless Networks


A Joint Matrix Factorization Analysis of Multilingual Representations


A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency


A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech


A Joint Modeling Approach for Clustering Mixed-Type Multivariate Longitudinal Data: Application to the CHILD Cohort Study


A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models


A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting


A Josephson Parametric Oscillator-Based Ising Machine


A Journey from Wild to Textbook Data to Reproducibly Refresh the Wages Data from the National Longitudinal Survey of Youth Database


A Jovian analogue orbiting a white dwarf star


A Judge-free LLM Open-ended Generation Benchmark Based on the Distributional Hypothesis


A Just-In-Time Networking Framework for Minimizing Request-Response Latency of Wireless Time-Sensitive Applications


A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs


A Kalman Filter model for synchronization in musical ensembles


A Kermack-McKendrick model with age of infection starting from a single or multiple cohorts of infected patients


A Kernel Independence Test for Geographical Language Variation


A Kernel Independence Test for Random Processes


A Kernel Loss for Solving the Bellman Equation


A Kernel Perspective for Regularizing Deep Neural Networks


A Kernel Stein Test for Comparing Latent Variable Models


A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment


A Kernel Two-Sample Test for Functional Data


A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series


A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)


A Kernel-Based View of Language Model Fine-Tuning


A Kernel-Expanded Stochastic Neural Network


A Kernelised Stein Discrepancy for Assessing the Fit of Inhomogeneous Random Graph Models


A Kernelised Stein Statistic for Assessing Implicit Generative Models


A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations


A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation


A Keypoint-based Global Association Network for Lane Detection


A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data


A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data


A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models


A Knowledge Graph for Assessing Aggressive Tax Planning Strategies


A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation


A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation


A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images


A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction


A Kogbetliantz-type algorithm for the hyperbolic SVD


A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation


A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems


A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors


A Label Attention Model for ICD Coding from Clinical Text


A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition


A Label is Worth a Thousand Images in Dataset Distillation


A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection


A Laboratory Method for Measuring the Cross-Polarization in High-Contrast Imaging


A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties


A Lagrangian theory for galaxy shape statistics


A Lambda Calculus for Transfinite Arrays: Unifying Arrays and Streams


A Langevin-like Sampler for Discrete Distributions


A Language Model's Guide Through Latent Space


A Language-Agnostic Logical Relation for Message-Passing Protocols


A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation


A Language-based solution to enable Metaverse Retrieval


A Language-theoretic View on Network Protocols


A Laplacian Framework for Option Discovery in Reinforcement Learning


A Laplacian Pyramid Based Generative H&E Stain Augmentation Network


A Large Collection of Real-world Pediatric Sleep Studies


A Large Cross-Modal Video Retrieval Dataset with Reading Comprehension


A Large Dataset for Improving Patch Matching


A Large Dataset of Historical Japanese Documents with Complex Layouts


A Large Dimensional Analysis of Least Squares Support Vector Machines


A Large Dimensional Study of Regularized Discriminant Analysis Classifiers


A Large Encoder-Decoder Family of Foundation Models For Chemical Language


A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation


A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks


A Large Scale Benchmark and an Inclusion-Based Algorithm for Continuous Collision Detection


A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling


A Large Scale Search Dataset for Unbiased Learning to Rank


A Large Scale Survey of Motivation in Software Development and Analysis of its Validity


A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID


A Large-Scale Benchmark for Vietnamese Sentence Paraphrases


A Large-Scale Characterization of How Readers Browse Wikipedia


A Large-Scale Comparison of Historical Text Normalization Systems


A Large-Scale Comparison of Tetrahedral and Hexahedral Elements for Solving Elliptic PDEs with the Finite Element Method


A Large-Scale Database for Graph Representation Learning


A Large-Scale Dataset for Biomedical Keyphrase Generation


A Large-Scale Empirical Analysis of Custom GPTs' Vulnerabilities in the OpenAI Ecosystem


A Large-Scale Empirical Study on Semantic Versioning in Golang Ecosystem


A Large-Scale Exploratory Study of Android Sports Apps in the Google Play Store


A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal


A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data


A Large-Scale Real-World Evaluation of LLM-Based Virtual Teaching Assistant


A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations


A Large-Scale Study on Source Code Reviewer Recommendation


A Large-Scale Study on Video Action Dataset Condensation


A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation


A Large-dimensional Analysis of ESPRIT DoA Estimation: Inconsistency and a Correction via RMT


A Large-scale Attribute Dataset for Zero-shot Learning


A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform


A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing


A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement


A Large-scale Industrial and Professional Occupation Dataset


A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark


A Large-scale Universal Evaluation Benchmark For Face Forgery Detection


A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits


A Late-Stage Bitemporal Feature Fusion Network for Semantic Change Detection


A Latent Causal Inference Framework for Ordinal Variables


A Latent Morphology Model for Open-Vocabulary Neural Machine Translation


A Latent Variable Approach to Learning High-dimensional Multivariate longitudinal Data


A Latent Variable Recurrent Neural Network for Discourse Relation Language Models


A Latent-Variable Model for Intrinsic Probing


A Layer-Based Sequential Framework for Scene Generation with GANs


A Leaf-Level Dataset for Soybean-Cotton Detection and Segmentation


A Leap among Quantum Computing and Quantum Neural Networks: A Survey


A Learnable Prior Improves Inverse Tumor Growth Modeling


A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel Decoding


A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem


A Learning Aided Flexible Gradient Descent Approach to MISO Beamforming


A Learning Framework for n-bit Quantized Neural Networks toward FPGAs


A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning


A Learning-Based Caching Mechanism for Edge Content Delivery


A Learning-Based Method for Automatic Operator Selection in the Fanoos XAI System


A Learning-Based Visual Saliency Fusion Model for High Dynamic Range Video (LBVS-HDR)


A Learning-Based Visual Saliency Prediction Model for Stereoscopic 3D Video (LBVS-3D)


A Learning-based Optimization Algorithm:Image Registration Optimizer Network


A Learning-based Quadcopter Controller with Extreme Adaptation


A Lensing-Band Approach to Spacetime Constraints


A Less Biased Evaluation of Out-of-distribution Sample Detectors


A Lesson in Scaling 6LoWPAN -- Minimal Fragment Forwarding in Lossy Networks


A Level Set Theory for Neural Implicit Evolution under Explicit Flows


A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries


A Library Perspective on Supervised Text Processing in Digital Libraries: An Investigation in the Biomedical Domain


A Lie Group Approach to Riemannian Batch Normalization


A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information


A Light Weight Model for Active Speaker Detection


A Light and Tuning-free Method for Simulating Camera Motion in Video Generation


A Light in the Dark: Deep Learning Practices for Industrial Computer Vision


A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition


A Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds using EMD-CWT-based Hybrid Scalogram


A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection


A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems


A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams


A Lightweight Constrained Generation Alternative for Query-focused Summarization


A Lightweight Encryption Scheme for IoT Devices in the Fog


A Lightweight Generative Model for Interpretable Subject-level Prediction


A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose


A Lightweight Hybrid Dual Channel Speech Enhancement System under Low-SNR Conditions


A Lightweight ISA Extension for AES and SM4


A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only


A Lightweight Inception Boosted U-Net Neural Network for Routability Prediction


A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation


A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions


A Lightweight Method to Generate Unanswerable Questions in English


A Lightweight Music Texture Transfer System


A Lightweight Neural Model for Biomedical Entity Linking


A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning


A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution


A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing


A Lightweight Transformer for Faster and Robust EBSD Data Collection


A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder


A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions


A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting


A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds


A Lightweight and Effective Image Tampering Localization Network with Vision Mamba


A Lightweight and Gradient-Stable Neural Layer


A Lightweight and Real-Time Binaural Speech Enhancement Model with Spatial Cues Preservation


A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises


A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification


A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection


A Likelihood Ratio Test of Genetic Relationship among Languages


A Likelihood Ratio-Based Approach to Segmenting Unknown Objects


A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design


A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks


A Limited-Memory Quasi-Newton Algorithm for Bound-Constrained Nonsmooth Optimization


A Line Search Algorithm for Multiphysics Problems with Fracture Deformation


A Linear Algebraic Framework for Dynamic Scheduling Over Memory-Equipped Quantum Networks


A Linear Algebraic Framework for Quantum Internet Dynamic Scheduling


A Linear Algorithm for Minimum Dominator Colorings of Orientations of Paths


A Linear Comb Filter for Event Flicker Removal


A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem


A Linear Parameter-Varying Framework for the Analysis of Time-Varying Optimization Algorithms


A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data


A Linear Systems Theory of Normalizing Flows


A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)


A Linear-Time Kernel Goodness-of-Fit Test


A Linear-Time Variational Integrator for Multibody Systems


A Linearly Convergent Algorithm for Rotationally Invariant $\ell_1$-Norm Principal Component Analysis


A Linearly Convergent Douglas-Rachford Splitting Solver for Markovian Information-Theoretic Optimization Problems


A Linguistic Comparison between Human and ChatGPT-Generated Conversations


A Lite Distributed Semantic Communication System for Internet of Things


A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers


A Little Bit More: Bitplane-Wise Bit-Depth Recovery


A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network


A Little Is Enough: Circumventing Defenses For Distributed Learning


A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages


A Living Review of Quantum Computing for Plasma Physics


A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained Settings


A Local Machine Learning Approach for Fingerprint-based Indoor Localization


A Local Optimization Framework for Multi-Objective Ergodic Search


A Local Updating Algorithm for Personalized PageRank via Chebyshev Polynomials


A Local-global principle for isogenies of composite degree


A Locality-based Neural Solver for Optical Motion Capture


A Localization Method Avoiding Flip Ambiguities for micro-UAVs with Bounded Distance Measurement Errors


A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT Images


A Localized Orthogonal Decomposition Method for Heterogeneous Stokes Problems


A Locally Conservative Mixed Finite Element Framework for Coupled Hydro-Mechanical-Chemical Processes in Heterogeneous Porous Media


A Logic-Based Framework for Natural Language Inference in Dutch


A Logic-Driven Framework for Consistency of Neural Models


A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues


A Logical Approach to Criminal Case Investigation


A Logical Fallacy-Informed Framework for Argument Generation


A Logical Model for joining Property Graphs


A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation


A Long Stream of Metal-Poor Cool Gas around a Massive Starburst Galaxy at z = 2.67


A Longitudinal Analysis of Bloated Java Dependencies


A Longitudinal Study of Cryptographic API: a Decade of Android Malware


A Longitudinal Study of Italian and French Reddit Conversations Around the Russian Invasion of Ukraine


A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System


A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning


A Low Rank Approach to Minimize Sensor-to-Actuator Communication in Finite Horizon Output Feedback


A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network


A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance


A Low-Computational Video Synopsis Framework with a Standard Dataset


A Low-Cost Portable Lidar-based Mobile Mapping System on an Android Smartphone


A Low-Cost Teleoperable Surgical Robot with a Macro-Micro Structure and a Continuum Tip for Open-Source Research


A Low-Rank ADMM Splitting Approach for Semidefinite Programming


A Low-Rank Bayesian Approach for Geoadditive Modeling


A Low-Shot Object Counting Network With Iterative Prototype Adaptation


A Low-complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-beam Beamformers


A Low-complexity Structured Neural Network to Realize States of Dynamical Systems


A Lower Bound of Hash Codes' Performance


A Lower Bound on Latency Spikes for Capacity-Seeking Network Traffic


A Lung Nodule Dataset with Histopathology-based Cancer Type Annotation


A Lyapunov Function for the Combined System-Optimizer Dynamics in Inexact Model Predictive Control


A Lyapunov function construction for a non-convex Douglas-Rachford iteration


A Lyra2 FPGA Core for Lyra2REv2-Based Cryptocurrencies


A MARL Based Multi-Target Tracking Algorithm Under Jamming Against Radar


A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views


A MIND for Reasoning: Meta-learning for In-context Deduction


A MISMATCHED Benchmark for Scientific Natural Language Inference


A MaNGA view of isolated galaxy mergers in the star-forming Main Sequence


A Machine Learning Approach for Automated Fine-Tuning of Semiconductor Spin Qubits


A Machine Learning Approach for the Efficient Estimation of Ground-Level Air Temperature in Urban Areas


A Machine Learning Approach to Automatic Fall Detection of Soldiers


A Machine Learning Approach to Classifying Construction Cost Documents into the International Construction Measurement Standard


A Machine Learning Approach to Contact Localization in Variable Density Three-Dimensional Tactile Artificial Skin


A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health


A Machine Learning Based Ensemble Method for Automatic Multiclass Classification of Decisions


A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries


A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals


A Machine Learning Framework for Automatic Prediction of Human Semen Motility


A Machine Learning Framework for Biometric Authentication using Electrocardiogram


A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction


A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems


A Machine Learning Method for Monte Carlo Calculations of Radiative Processes


A Machine Learning Model for Nowcasting Epidemic Incidence


A Machine Learning Pressure Emulator for Hydrogen Embrittlement


A Machine Learning System for Retaining Patients in HIV Care


A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning


A Machine Learning alternative to placebo-controlled clinical trials upon new diseases: A primer


A Machine Learning and Computer Vision Approach to Rapidly Optimize Multiscale Droplet Generation


A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery


A Machine With Human-Like Memory Systems


A Machine with Short-Term, Episodic, and Semantic Memory Systems


A Machine-Learning Bond-Order Potential for Exploring the Configuration Space of Carbon


A Machine-Learning-Based Direction-of-Origin Filter for the Identification of Radio Frequency Interference in the Search for Technosignatures


A Machine-learning Based Ensemble Method For Anti-patterns Detection


A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models


A Mamba-based Network for Semi-supervised Singing Melody Extraction Using Confidence Binary Regularization


A Mamba-based Siamese Network for Remote Sensing Change Detection


A Maneuver-based Urban Driving Dataset and Model for Cooperative Vehicle Applications


A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild


A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software


A Map of Diverse Synthetic Stable Roommates Instances


A Map-Free LiDAR-Based System for Autonomous Navigation in Vineyards


A Mapper Algorithm with implicit intervals and its optimization


A Margin-Maximizing Fine-Grained Ensemble Method


A Market for Accuracy: Classification under Competition


A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living with Dementia


A Markov Chain Monte-Carlo Approach to Dose-Response Optimization Using Probabilistic Programming (RStan)


A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation


A Markov Decision Process for Response-Adaptive Randomization in Clinical Trials


A Markov Reward Process-Based Approach to Spatial Interpolation


A Markov decision process approach to optimizing cancer therapy using multiple modalities


A Markovian dynamics for C. elegans behavior across scales


A Masked Face Classification Benchmark on Low-Resolution Surveillance Images


A Masked Segmental Language Model for Unsupervised Natural Language Segmentation


A Mass-Magnitude Relation for Low-mass Stars Based on Dynamical Measurements of Thousands of Binary Star Systems


A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space


A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices


A Massively Parallel Interior-Point-Method for Arrowhead Linear Programs


A Massively Parallel Performance Portable Free-space Spectral Poisson Solver


A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection


A Matched Survey for the Enigmatic Low Radio Frequency Transient ILT J225347+862146


A Mathematica program for numerically computing real and complex critical points in 4-dimensional Lorentzian spinfoam amplitude


A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems


A Mathematical Model of Local and Global Attention in Natural Scene Viewing


A Mathematical Model of the Hidden Feedback Loop Effect in Machine Learning Systems


A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III)


A Mathematical Theory for Studying and Controlling the Disinformation System Dynamics


A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization


A Matlab Toolbox for Feature Importance Ranking


A Matlab and CasADi-based Implementation of RICE Dynamic Game


A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks


A Matrix Product State Representation of Boolean Functions


A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable Sensors


A Max-Min Entropy Framework for Reinforcement Learning


A Maximum Entropy Procedure to Solve Likelihood Equations


A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans


A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans


A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks


A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off


A Meaning-based Statistical English Math Word Problem Solver


A Measure Theoretical Approach to the Mean-field Maximum Principle for Training NeurODEs


A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data Sets


A Measure of Synergy based on Union Information


A Measure of the Complexity of Neural Representations based on Partial Information Decomposition


A Measurement of the Kuiper Belt's Mean Plane From Objects Classified By Machine Learning


A Mechanical Model for the Failure of Reconstructive Breast Implant Surgery Due to Capsular Contracture


A Mechanically Verified Theory of Contracts


A Mechanism of Stochastic Synchronization in the Climate System: an Interpretation of the Boundary Current Synchronization as a Maxwell's Demon


A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task


A Mechanistic Framework for Collider Detection in Observational Data


A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis


A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity


A Medical Data-Effective Learning Benchmark for Highly Efficient Pre-training of Foundation Models


A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis


A Memory Optimized Data Structure for Binary Chromosomes in Genetic Algorithm


A Mention-Ranking Model for Abstract Anaphora Resolution


A Meshfree RBF-FD Constant along Normal Method for Solving PDEs on Surfaces


A Message Passing Perspective on Learning Dynamics of Contrastive Learning


A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud


A Meta-Bayesian Model of Intentional Visual Search


A Meta-Learning Approach for Training Explainable Graph Neural Networks


A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation


A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML


A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning


A Meta-Reinforcement Learning Algorithm for Causal Discovery


A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction


A Meta-level Analysis of Online Anomaly Detectors


A Metaheuristic Approach for Mining Gradual Patterns


A Metaheuristic for Amortized Search in High-Dimensional Parameter Spaces


A Metalearned Neural Circuit for Nonparametric Bayesian Inference


A Method To Characterize the Wide-Angle Point Spread Function of Astronomical Images


A Method for Animating Children's Drawings of the Human Figure


A Method for Detecting Legal Article Competition for Korean Criminal Law Using a Case-augmented Mention Graph


A Method for Determining the Locations and Configurations of Magnetic Reconnection within 3D Turbulent Plasmas


A Method for Enhancing Generalization of Adam by Multiple Integrations


A Method for Estimating Individual Socioeconomic Status of Twitter Users


A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning


A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces


A Method for the Time-Frequency Analysis of High-Order Interactions in Non-Stationary Physiological Networks


A Method to Apply Piola-Kirchhoff Stress in Molecular Statics Simulation


A Method to Facilitate Membership Inference Attacks in Deep Learning Models


A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It


A Methodological Framework for Measuring Spatial Labeling Similarity


A Methodology and Software Architecture to Support Explainability-by-Design


A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation


A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modeling


A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels


A Metric Learning Approach to Anomaly Detection in Video Games


A Metropolis-class sampler for targets with non-convex support


A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection


A Micro Architectural Events Aware Real-Time Embedded System Fault Injector


A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations


A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks


A Miniaturized Semantic Segmentation Method for Remote Sensing Image


A Minibatch Alternating Projections Algorithm for Robust and Efficient Magnitude Least-Squares RF Pulse Design in MRI


A Minimal Approach for Natural Language Action Space in Text-based Games


A Minimal Developmental Model Can Increase Evolvability in Soft Robots


A Minimal Template for Interactive Web-based Demonstrations of Musical Machine Learning


A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce


A Minimalist Optimizer Design for LLM Pretraining


A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes


A Minimax Surrogate Loss Approach to Conditional Difference Estimation


A Minimum Description Length Approach to Regularization in Neural Networks


A Minkowski Functional Analysis of the Cosmic Microwave Background Weak Lensing Convergence


A Misclassification Network-Based Method for Comparative Genomic Analysis


A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence


A Missing Data Imputation GAN for Character Sprite Generation


A Mixed Integer Least-Squares Formulation of the GNSS Snapshot Positioning Problem


A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping


A Mixed supervised Learning Framework for Target Sound Detection


A Mixed-Integer Approach for Motion Planning of Nonholonomic Robots under Visible Light Communication Constraints


A Mixed-Language Multi-Document News Summarization Dataset and a Graphs-Based Extract-Generate Model


A Mixed-Method Approach to Determining Contact Matrices in the Cox's Bazar Refugee Settlement


A Mixed-Methods Study on the Implications of Unsafe Rust for Interoperation, Encapsulation, and Tooling


A Mixture of Experts Approach to 3D Human Motion Prediction


A Mixture of Surprises for Unsupervised Reinforcement Learning


A Mixture-Based Framework for Guiding Diffusion Models


A Model RRNet for Spectral Information Exploitation and LAMOST Medium-resolution Spectrum Parameter Estimation


A Model You Can Hear: Audio Identification with Playable Prototypes


A Model for Multi-Agent Heterogeneous Interaction Problems


A Model of Silence, or the Probability of "Un Ange Passe"


A Model of the Globally-averaged Thermospheric Energy Balance


A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning


A Model to Search for Synthesizable Molecules


A Model-Agnostic Approach for Semantically Driven Disambiguation in Human-Robot Interaction


A Model-Agnostic Causal Learning Framework for Recommendation using Search Data


A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation


A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations


A Model-Based Clustering Approach for Bounded Data Using Transformation-Based Gaussian Mixture Models


A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA


A Model-Free Method to Quantify Memory Utilization in Neural Point Processes


A Model-driven Deep Neural Network for Single Image Rain Removal


A Model-free Variable Screening Method Based on Leverage Score


A Modern Compiler for the French Tax Code


A Modern Look at the Relationship between Sharpness and Generalization


A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models


A Modified Split Bregman Algorithm for Computing Microstructures Through Young Measures


A Modular 3-Degree-of-Freedom Force Sensor for Robot-assisted Minimally Invasive Surgery Research


A Modular Approach for Multilingual Timex Detection and Normalization using Deep Learning and Grammar-based methods


A Modular Approach for Multimodal Summarization of TV Shows


A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools


A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations


A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning


A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data


A Modular Framework for Flexible Planning in Human-Robot Collaboration


A Modular Framework for Reinforcement Learning Optimal Execution


A Modular Hybridization of Particle Swarm Optimization and Differential Evolution


A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings


A Modular Pipeline for 3D Object Tracking Using RGB Cameras


A Modular Platform For Collaborative, Distributed Sensor Fusion


A Modular PyTheus Quantum Network Interpreter: Automated Analysis and Visualization of Optimized Quantum Architectures


A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation


A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance


A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations


A Modular and Extensible CHARMM-Compatible Model for All-Atom Simulation of Polypeptoids


A Modular and High-Resolution Time-Frequency Post-Processing Technique


A Modulation Front-End for Music Audio Tagging


A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues


A Modulation Module for Multi-task Learning with Applications in Image Retrieval


A Modulation-Domain Loss for Neural-Network-based Real-time Speech Enhancement


A Molecular Prior Distribution for Bayesian Inference Based on Wilson Statistics


A Moment-SOS Hierarchy for Robust Polynomial Matrix Inequality Optimization with SOS-Convexity


A Momentum Accelerated Algorithm for ReLU-based Nonlinear Matrix Decomposition


A Monitoring and Discovery Approach for Declarative Processes Based on Streams


A Monte Carlo algorithm for spin foam intertwiners


A Monte Carlo study of early gas expulsion and evolution of star clusters: new simulations with the MOCCA code in the AMUSE framework


A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Task


A More General Theory of Diagnosis from First Principles


A Morley-Wang-Xu element method for a fourth order elliptic singular perturbation problem


A Morphological Classification Model to Identify Unresolved PanSTARRS1 Sources II: Update to the PS1 Point Source Catalog


A Morphological Model to Separate Resolved--unresolved Sources in the DESI Legacy Surveys: Application in the LS4 Alert Stream


A Mosquito is Worth 16x16 Larvae: Evaluation of Deep Learning Architectures for Mosquito Larvae Classification


A Motion Assessment Method for Reference Stack Selection in Fetal Brain MRI Reconstruction Based on Tensor Rank Approximation


A Mountain-Shaped Single-Stage Network for Accurate Image Restoration


A Multi Hidden Recurrent Neural Network with a Modified Grey Wolf Optimizer


A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection


A Multi-Agent Multi-Environment Mixed Q-Learning for Partially Decentralized Wireless Network Optimization


A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets


A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals


A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models


A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization


A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets


A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs


A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models


A Multi-Fidelity Emulator for the Lyman-$α$ Forest Flux Power Spectrum


A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics


A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval


A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation Offloading


A Multi-Head Model for Continual Learning via Out-of-Distribution Replay


A Multi-In-Single-Out Network for Video Frame Interpolation without Optical Flow


A Multi-Label Dataset of French Fake News: Human and Machine Insights


A Multi-Layer Blockchain Simulator and Performance Evaluation of Social Internet of Vehicles with Multi-Connectivity Management


A Multi-Layer Software Architecture for Aerial Cognitive Multi-Robot Systems in Power Line Inspection Tasks


A Multi-Level Approach to Waste Object Segmentation


A Multi-Level Attention Model for Evidence-Based Fact Checking


A Multi-Level Framework for Accelerating Training Transformer Models


A Multi-Level Sentiment Analysis Framework for Financial Texts


A Multi-Marginal C-Convex Duality Theorem for Martingale Optimal Transport


A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following


A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study


A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues


A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation


A Multi-Modal Deep Learning Based Approach for House Price Prediction


A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis


A Multi-Modal Method for Satire Detection using Textual and Visual Cues


A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram


A Multi-Pass GAN for Fluid Flow Super-Resolution


A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection


A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet


A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections


A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules


A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification


A Multi-Robot Task Assignment Framework for Search and Rescue with Heterogeneous Teams


A Multi-Scale Attentive Transformer for Multi-Instrument Symbolic Music Generation


A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis


A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition


A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems


A Multi-State Social Force Based Framework for Vehicle-Pedestrian Interaction in Uncontrolled Pedestrian Crossing Scenarios


A Multi-Step Minimax Q-learning Algorithm for Two-Player Zero-Sum Markov Games


A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection


A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations


A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation


A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings


A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis


A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment


A Multi-Task Learning Approach to Linear Multivariate Forecasting


A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER


A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks


A Multi-Turn Emotionally Engaging Dialog Model


A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning


A Multi-agent Reinforcement Learning Study of Emergence of Social Classes out of Arbitrary Governance: The Role of Environment


A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis


A Multi-body Tracking Framework -- From Rigid Objects to Kinematic Structures


A Multi-cascaded Deep Model for Bilingual SMS Classification


A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models


A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design


A Multi-level Neural Network for Implicit Causality Detection in Web Texts


A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction Framework Based on Panoramic Stereo Images for a Trimming Robot


A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs


A Multi-resolution Approach to Expression Recognition in the Wild


A Multi-scale Information Integration Framework for Infrared and Visible Image Fusion


A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids


A Multi-spectral Dataset for Evaluating Motion Estimation Systems


A Multi-step Approach for Minimizing Risk in Decentralized Exchanges


A Multi-task Adversarial Attack Against Face Authentication


A Multi-task Approach for Named Entity Recognition in Social Media Data


A Multi-task Framework for Infrared Small Target Detection and Segmentation


A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets


A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization


A Multi-task Supervised Compression Model for Split Computing


A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis


A Multi-tasking Model of Speaker-Keyword Classification for Keeping Human in the Loop of Drone-assisted Inspection


A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction


A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting


A Multi-viewpoint Outdoor Dataset for Human Action Recognition


A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and Sinhala


A Multidimensional Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences


A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications


A Multifacet Hierarchical Sentiment-Topic Model with Application to Multi-Brand Online Review Analysis


A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models


A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions


A Multifaceted Look at Starlink Performance


A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction


A Multilayer Network Model of the Coevolution of the Spread of a Disease and Competing Opinions


A Multilevel Approach to Stochastic Trace Estimation


A Multilevel Scheduling Framework for Distributed Time-domain Large-area Sky Survey Telescope Array


A Multilevel Stochastic Approximation Algorithm for Value-at-Risk and Expected Shortfall Estimation


A Multilinear Sampling Algorithm to Estimate Shapley Values


A Multilingual Neural Machine Translation Model for Biomedical Data


A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference


A Multilingual Virtual Guide for Self-Attachment Technique


A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications


A Multimer Embedding Approach for Molecular Crystals up to Harmonic Vibrational Properties


A Multimodal Analysis of Influencer Content on Twitter


A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT Segmentation


A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERT


A Multimodal Corpus for Emotion Recognition in Sarcasm


A Multimodal Corpus of Expert Gaze and Behavior during Phonetic Segmentation Tasks


A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction


A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities


A Multimodal Framework for the Detection of Hateful Memes


A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype Classification


A Multimodal Handover Failure Detection Dataset and Baselines


A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation


A Multimodal LSTM for Predicting Listener Empathic Responses Over Time


A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation


A Multimodal Object-level Contrast Learning Method for Cancer Survival Risk Prediction


A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions


A Multimodal Prototypical Approach for Unsupervised Sound Classification


A Multimodal Sensing Ring for Quantification of Scratch Intensity


A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios


A Multimodal Symphony: Integrating Taste and Sound through Generative AI


A Multimodal Vision Foundation Model for Clinical Dermatology


A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation


A Multiperiod Workforce Scheduling and Routing Problem with Dependent Tasks


A Multiple Choices Reading Comprehension Corpus for Vietnamese Language Education


A Multipurpose Interface for Close- and Far-Proximity Control of Mobile Collaborative Robots


A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes


A Multiscale Scan Statistic for Adaptive Submatrix Localization


A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images


A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity


A Multivariate Extreme Value Theory Approach to Anomaly Clustering and Visualization


A Multivariate Space-Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt Pinatubo Eruptio


A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections


A Multivocal Review of MLOps Practices, Challenges and Open Issues


A Multiwavelength Autopsy of the Interacting IIn Supernova 2020ywx: Tracing its Progenitor Mass-Loss History for 100 Years before Death


A Multiwavelength Machine-learning Approach to Classifying X-ray Sources in the Fields of Unidentified 4FGL-DR4 sources


A Mutation Framework for Evaluating Security Analysis tools in IoT Applications


A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification


A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering


A Mutual learning framework for Few-shot Sound Event Detection


A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks


A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings


A Naive Bayes Classifier for identifying Class II YSOs


A Naive Model of Covid-19 Spread From A Dry Cough


A Named Entity Based Approach to Model Recipes


A Nanomechanical Testing Framework Yielding Front&Rear-Sided, High-Resolution, Microstructure-Correlated SEM-DIC Strain Fields


A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism


A Navigation Framework Utilizing Vision-Language Models


A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness


A Negative Correlation Strategy for Bracketing in Difference-in-Differences


A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data


A Neighbor-based Approach to Pitch Ownership Models in Soccer


A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings


A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning Tools


A Network-Based Measure of Cosponsorship Influence on Bill Passing in the United States House of Representatives


A Neural Anthropometer Learning from Body Dimensions Computed on Human 3D Meshes


A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes


A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks


A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints


A Neural Conversation Generation Model via Equivalent Shared Memory Investigation


A Neural Database for Differentially Private Spatial Range Queries


A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning


A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text


A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction


A Neural Few-Shot Text Classification Reality Check


A Neural Framework for Generalized Causal Sensitivity Analysis


A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings


A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse


A Neural Model for Regular Grammar Induction


A Neural Model of Rule Discovery with Relatively Short-Term Sequence Memory


A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization


A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)


A Neural Multigrid Solver for Helmholtz Equations with High Wavenumber and Heterogeneous Media


A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture


A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data


A Neural Network Architecture for Program Understanding Inspired by Human Behaviors


A Neural Network MCMC sampler that maximizes Proposal Entropy


A Neural Network Mode for PX4 on Embedded Flight Controllers


A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level


A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem


A Neural Network based Framework for Effective Laparoscopic Video Quality Assessment


A Neural Network for Detailed Human Depth Estimation from a Single Image


A Neural Network-Based Approach to Normality Testing for Dependent Data


A Neural Network-Based Distributional Constraint Learning Methodology for Mixed-Integer Stochastic Optimization


A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems


A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials


A Neural PDE Solver with Temporal Stencil Modeling


A Neural Pairwise Ranking Model for Readability Assessment


A Neural Separation Algorithm for the Rounded Capacity Inequalities


A Neural Space-Time Representation for Text-to-Image Personalization


A Neural Span-Based Continual Named Entity Recognition Model


A Neural State-Space Model Approach to Efficient Speech Separation


A Neural Symbolic Model for Space Physics


A Neural Tangent Kernel Perspective of GANs


A Neural Temporal Model for Human Motion Prediction


A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation


A Neural Transition-based Model for Nested Mention Recognition


A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks


A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data


A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC Filter


A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability


A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations


A Neuro-Symbolic ASP Pipeline for Visual Question Answering


A Neuro-Symbolic Approach for Enhanced Human Motion Prediction


A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts


A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge


A Neurobiological Evaluation Metric for Neural Network Model Search


A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment


A New $p$-Control Chart with Measurement Error Correction


A New 3-D Picture of the Milky Way with Classical Cepheids


A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms


A New Approach Towards Autoformalization


A New Approach for Evaluating and Improving the Performance of Segmentation Algorithms on Hard-to-Detect Blood Vessels


A New Approach to 3D ICP Covariance Estimation


A New Approach to Electroweak Symmetry Non-Restoration


A New Approach to Overgenerating and Scoring Abstractive Summaries


A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models


A New Approach to Tests and Confidence Bands for Distribution Functions


A New Approach to Time-Optimal Path Parameterization based on Reachability Analysis


A New Bandit Setting Balancing Information from State Evolution and Corrupted Context


A New Benchmark and Approach for Fine-grained Cross-media Retrieval


A New Benchmark and Model for Challenging Image Manipulation Detection


A New Benchmark and Progress Toward Improved Weakly Supervised Learning


A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection


A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation


A New Bootstrap Goodness-of-Fit Test for Normal Linear Regression Models


A New Broadcast Primitive for BFT Protocols


A New Census of the 0.2< z <3.0 Universe, Part II: The Star-Forming Sequence


A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection


A New Class of $A$ Stable Summation by Parts Time Integration Schemes with Strong Initial Conditions


A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model


A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos


A New Dataset and Empirical Study for Sentence Simplification in Chinese


A New Dataset and Framework for Real-World Blurred Images Super-Resolution


A New Dataset and Methodology for Malicious URL Classification


A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers


A New Dataset and Proposed Convolutional Neural Network Architecture for Classification of American Sign Language Digits


A New Dataset and Transformer for Stereoscopic Video Super-Resolution


A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court Transcripts


A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors


A New Defense Against Adversarial Images: Turning a Weakness into a Strength


A New Distribution on the Simplex with Auto-Encoding Applications


A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories


A New Ensemble Learning Framework for 3D Biomedical Image Segmentation


A New Estimate of the Cutoff Value in the Bak-Sneppen Model


A New Family of Neural Networks Provably Resistant to Adversarial Attacks


A New Federated Learning Framework Against Gradient Inversion Attacks


A New Formalism, Method and Open Issues for Zero-Shot Coordination


A New Formula for the Determinant and Bounds on Its Tensor and Waring Ranks


A New Formulation for the Concerted Alchemical Calculation of van der Waals and Coulomb Components of Solvation Free Energies


A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns


A New Framework for Nonlinear Kalman Filters


A New Framework to Estimate Return on Investment for Player Salaries in the National Basketball Association


A New Frontier for Pull-Based Graph Processing


A New Frontier of AI: On-Device AI Training and Personalization


A New Fuzzy Stacked Generalization Technique and Analysis of its Performance


A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs


A New Herwig7 Underlying Event Tune: from RHIC to LHC Energies


A New High Performance and Scalable SVD algorithm on Distributed Memory Systems


A New IEEE 802.15.4 Simulation Model for OMNeT++ / INET


A New Index for Clustering Evaluation Based on Density Estimation


A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval


A New Iron Emission Template for Active Galactic Nuclei. I. Optical Template for the H$β$ region


A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection


A New Korean Text Classification Benchmark for Recognizing the Political Intents in Online Newspapers


A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection


A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference


A New Linear Programming Approach and a New Backtracking Strategy for Multiple-Gradient Descent in Multi-Objective Optimization


A New Logic For Pediatric Brain Tumor Segmentation


A New Look at Dual-Hop Relaying: Performance Limits with Hardware Impairments


A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids


A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound


A New Method for Inserting Train Paths into a Timetable


A New Method to Compare the Interpretability of Rule-based Algorithms


A New Monte-Carlo Model for the Space Environment


A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention Blocks


A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups


A New Non-archimedean Metric on Persistent Homology


A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center


A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration


A New Outlook on the Profitability of Rogue Mining Strategies in the Bitcoin Network


A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules


A New Particle Pusher with Hadronic Interactions for Modeling Multimessenger Emission from Compact Objects


A New Pathway to Approximate Energy Expenditure and Recovery of an Athlete


A New Perspective To Understanding Multi-resolution Hash Encoding For Neural Fields


A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights


A New Perspective on Debiasing Linear Regressions


A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing


A New Perspective on Speaker Verification: Joint Modeling with DFSMN and Transformer


A New Perspective on Stabilizing GANs training: Direct Adversarial Training


A New Perspective on the Effects of Spectrum in Graph Neural Networks


A New Perspective to Boost Performance Fairness for Medical Federated Learning


A New Primitive for a Diffie-Hellman-like Key Exchange Protocol Based on Multivariate Ore Polynomials


A New Probe of Gravitational Parity Violation Through (Non-)Observation of the Stochastic Gravitational-Wave Background


A New Robust Multivariate Mode Estimator for Eye-tracking Calibration


A New Sedimentation Model for Greater Cloud Diversity in Giant Exoplanets and Brown Dwarfs


A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms


A New Similarity Space Tailored for Supervised Deep Metric Learning


A New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification


A New Spectral Method for Latent Variable Models


A New Split for Evaluating True Zero-Shot Action Recognition


A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations


A New Task and Dataset on Detecting Attacks on Human Rights Defenders


A New Tightly-Coupled Dual-VIO for a Mobile Manipulator With Dynamic Locomotion


A New Tool for CME Arrival Time Prediction Using Machine Learning Algorithms: CAT-PUMA


A New Truncation Algorithm for Markov Chain Equilibrium Distributions with Computable Error Bounds


A New Valuation Measure for the Stock Market


A New Versatile Code for Gamma-Ray Monte-Carlo Radiative Transfer


A New View of Classification in Astronomy with the Archetype Technique: An Astronomical Case of the NP-complete Set Cover Problem


A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its Benefits


A Newman-Penrose Calculator for Instanton Metrics


A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization


A Next Basket Recommendation Reality Check


A Node Elimination Algorithm for Cubature of High-Dimensional Polytopes


A Node Formulation for Multistage Stochastic Programs with Endogenous Uncertainty


A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization


A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification


A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models


A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem


A Non-Interior-Point Continuation Method for the Optimal Control Problem with Equilibrium Constraints


A Non-Invasive Interpretable NAFLD Diagnostic Method Combining TCM Tongue Features


A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning


A Non-Parametric Test to Detect Data-Copying in Generative Models


A Non-Primordial Origin for the Widest Binaries in the Kuiper Belt


A Non-Uniform Low-Light Image Enhancement Method with Multi-Scale Attention Transformer and Luminance Consistency Loss


A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework with Gray Code Representation


A Non-homogeneous Count Process: Marginalizing a Poisson Driven Cox Process


A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning


A Non-linear Differentiable Model for Stormwater-based Irrigation of a Green Roof in Toronto


A Non-monotonic Self-terminating Language Model


A Non-stiff Summation-By-Parts Finite Difference Method for the Scalar Wave Equation in Second Order Form: Characteristic Boundary Conditions and Nonlinear Interfaces


A Non-stochastic Optimization Algorithm for Neural-network Quantum States


A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution


A Nonlinear Beamforming for Enhanced Spatiotemporal Sensitivity in High Frame Rate Ultrasound Flow Imaging


A Nonlinear Boundary Condition for Continuum Models of Biomolecular Electrostatics


A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding


A Nonlinear Sum of Squares Search for CAZAC Sequences


A Nonlocal Damage-enhanced Lattice Particle Model for Ductile Fracture Analysis


A Nonparametric Maximum Likelihood Approach to Mixture of Regression


A Nonparametric Off-Policy Policy Gradient


A Nonparametric Test of Dependence Based on Ensemble of Decision Trees


A Normalizing Computation Rule for Propositional Extensionality in Higher-Order Minimal Logic


A Normative approach to Attest Digital Discrimination


A Notation for Markov Decision Processes


A Note on "Assessing Generalization of SGD via Disagreement"


A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning


A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer


A Note on Linear Quadratic Regulator and Kalman Filter


A Note on Local Linear Regression for Time Series in Banach Spaces


A Note on Numerical Fluxes Conserving a Member of Harten's One-Parameter Family of Entropies for the Compressible Euler Equations


A Note on Optimizing Distributions using Kernel Mean Embeddings


A Note on Over-Smoothing for Graph Neural Networks


A Note on Parallel Preconditioning for All-At-Once Evolutionary PDEs


A Note on Piecewise Affine Decision Rules for Robust, Stochastic, and Data-Driven Optimization


A Note on QR-Based Model Reduction: Algorithm, Software, and Gravitational Wave Applications


A Note on Statistically Accurate Tabular Data Generation Using Large Language Models


A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret


A Note on k-support Norm Regularized Risk Minimization


A Note on the Direct Approximation of Derivatives in Rational Radial Basis Functions Partition of Unity Method


A Note on the Performance of Algorithms for Solving Linear Diophantine Equations in the Naturals


A Note on the Stability of the Sherman-Morrison-Woodbury Formula


A Note on the Welfare Gap in Fair Ordering


A Notion of Complexity for Theory of Mind via Discrete World Models


A Novel 1D State Space for Efficient Music Rhythmic Analysis


A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition


A Novel Approach For Generating Customizable Light Field Datasets for Machine Learning


A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language Models


A Novel Approach for Exploring the Light Traveling Path in the Medium with a Spherically Symmetric Refractive Index


A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning


A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals


A Novel Approach to Discover Switch Behaviours in Process Mining


A Novel Approach to Guard from Adversarial Attacks using Stable Diffusion


A Novel Approach to Identify Security Controls in Source Code


A Novel Approach to Identifying Open Star Cluster Members in {\it Gaia} DR3: Integrating MST and GMM Techniques


A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation


A Novel Approach to Lifelong Learning: The Plastic Support Structure


A Novel Approach to Radiometric Identification


A Novel Approach to Solving Goal-Achieving Problems for Board Games


A Novel Approach to Threshold Quantum Images by using Unsharp Measurements


A Novel Approach to the Partial Information Decomposition


A Novel Bayesian Extrapolation Design for Assessing Equivalence in Exposure-Response Curves between Pediatric and Adult Populations


A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models


A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic Measures


A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box


A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus


A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI


A Novel Channel Model for Reconfigurable Intelligent Surfaces with Consideration of Polarization and Switch Impairments


A Novel Chaotic System for Text Encryption Optimized with Genetic Algorithm


A Novel Collaborative Self-Supervised Learning Method for Radiomic Data


A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles


A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models


A Novel Corpus of Discourse Structure in Humans and Computers


A Novel Correlation-optimized Deep Learning Method for Wind Speed Forecast


A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions


A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields


A Novel Dataset for Keypoint Detection of quadruped Animals from Images


A Novel Decentralized Inverter Control Algorithm for Loss Minimization and LVRT Improvement


A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data


A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19


A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field


A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder


A Novel Dependency Framework for Enhancing Discourse Data Analysis


A Novel Driver Distraction Behavior Detection Method Based on Self-supervised Learning with Masked Image Modeling


A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing


A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected Layers


A Novel Energy based Model Mechanism for Multi-modal Aspect-Based Sentiment Analysis


A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph


A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search


A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks


A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence


A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning


A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage


A Novel Fully Annotated Thermal Infrared Face Dataset: Recorded in Various Environment Conditions and Distances From The Camera


A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech


A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems


A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patients


A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling


A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation


A Novel Higher-order Weisfeiler-Lehman Graph Convolution


A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement


A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases


A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge


A Novel Image-centric Approach Towards Direct Volume Rendering


A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items


A Novel Interface Database of Graphene Nanoribbon from Density Functional Theory


A Novel Interpolation-Based Method for Solving the One-Dimensional Wave Equation on a Domain with a Moving Boundary


A Novel Interpretability Metric for Explaining Bias in Language Models: Applications on Multilingual Models from Southeast Asia


A Novel Interpretable and Generalizable Re-synchronization Model for Cued Speech based on a Multi-Cuer Corpus


A Novel Measure to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images


A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios


A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPT


A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit


A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction


A Novel Online Stacked Ensemble for Multi-Label Stream Classification


A Novel Optimized Asynchronous Federated Learning Framework


A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance


A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification


A Novel Physics-Regularized Interpretable Machine Learning Model for Grain Growth


A Novel Plug-in Module for Fine-Grained Visual Classification


A Novel Point Inclusion Test for Convex Polygons Based on Voronoi Tessellations


A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach


A Novel Poisoned Water Detection Method Using Smartphone Embedded Wi-Fi Technology and Machine Learning Algorithms


A Novel Protocol Using Captive Portals for FIDO2 Network Authentication


A Novel Pseudo Nearest Neighbor Classification Method Using Local Harmonic Mean Distance


A Novel Quantum Algorithm for Efficient Attractor Search in Gene Regulatory Networks


A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing Tool and a Benchmark for Evaluating the Accuracy of Diff Tools


A Novel Regularization Based on the Error Function for Sparse Recovery


A Novel Route to Oscillations via non-central SNICeroclinic Bifurcation: unfolding the separatrix loop between a saddle-node and a saddle


A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink


A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces


A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks


A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian Mutation


A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem


A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning


A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising


A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation


A Novel Unified Parametric Assumption for Nonconvex Optimization


A Novel Unsupervised Graph Wavelet Autoencoder for Mechanical System Fault Detection


A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines


A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception


A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos


A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text Summarization


A Novel and Accurate BiLSTM Configuration Controller for Modular Soft Robots with Module Number Adaptability


A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan


A Novel lightweight Convolutional Neural Network, ExquisiteNetV2


A Number Sense as an Emergent Property of the Manipulating Brain


A Numerical Approach to Sequential Multi-Hypothesis Testing for Bernoulli Model


A Numerical Comparison of Petri Net and Ordinary Differential Equation SIR Component Models


A Numerical Study of Chaotic Dynamics of K-S Equation with FNOs


A Numerically Efficient Method to Enhance Model Predictive Control Performance with a Reinforcement Learning Policy


A One Stop 3D Target Reconstruction and multilevel Segmentation Method


A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization


A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs


A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment


A One-bit, Comparison-Based Gradient Estimator


A P2P-dominant Distribution System Architecture


A PAC-Bayes Analysis of Adversarial Robustness


A PAC-Bayesian Framework for Optimal Control with Stability Guarantees


A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings


A PCA based Keypoint Tracking Approach to Automated Facial Expressions Encoding


A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks


A Package for the Automated Classification of Images Containing Supernova Light Echoes


A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement


A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference


A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification


A Parallel Data Compression Framework for Large Scale 3D Scientific Data


A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation


A Parallel Feature-preserving Mesh Variable Offsetting Method with Dynamic Programming


A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control


A Parallel Implementation of Computing Mean Average Precision


A Parallel Projection Method for Metric Constrained Optimization


A Parallel Vector-form $LDL^\top$ Decomposition for Accelerating Execution-time-certified $\ell_1$-penalty Soft-constrained MPC


A Parallelizable Approach for Characterizing NE in Zero-Sum Games After a Linear Number of Iterations of Gradient Descent


A Parallelized, Adam-Based Solver for Reserve and Security Constrained AC Unit Commitment


A Parameter-Free Tour of the Binary Black Hole Population


A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics


A Parameter-efficient Multi-subject Model for Predicting fMRI Activity


A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning


A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification


A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees


A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection


A Parametric Galactic Model toward the Galactic Bulge Based on Gaia and Microlensing Data


A Parametric Study of the SASI Comparing General Relativistic and Nonrelativistic Treatments


A Parametrizable Algorithm for Distributed Approximate Similarity Search with Arbitrary Distances


A Parsimonious Tour of Bayesian Model Uncertainty


A Partial Differential Equation for the Mean--Return-Time Phase of Planar Stochastic Oscillators


A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden


A Partially Pooled NSUM Model: Detailed estimation of CSEM trafficking prevalence in Philippine municipalities


A Partially Separable Model for Dynamic Valued Networks


A Particle Method for Solving Fredholm Equations of the First Kind


A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification


A Passivity Interpretation of Energy-Based Forced Oscillation Source Location Methods


A Path Integral Ground State Monte Carlo Algorithm for Entanglement of Lattice Bosons


A Path Towards Clinical Adaptation of Accelerated MRI


A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study


A Pattern Matching-Based Framework for Quantum Circuit Rewriting


A Pattern to Align Them All: Integrating Different Modalities to Define Multi-Modal Entities


A Peaceman-Rachford Splitting Approach with Deep Equilibrium Network for Channel Estimation


A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models


A Perceptual Measure for Evaluating the Resynthesis of Automatic Music Transcriptions


A Perceptual Prediction Framework for Self Supervised Event Segmentation


A Perceptual Quality Metric for Video Frame Interpolation


A Perceptual Weighting Filter Loss for DNN Training in Speech Enhancement


A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language


A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems


A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads


A Periodic Bayesian Flow for Material Generation


A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning


A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics


A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations


A Personalized Dense Retrieval Framework for Unified Information Access


A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems


A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance


A Perturbation Bound on the Subspace Estimator from Canonical Projections


A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow


A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data


A Phase-Field Discrete Element Method to study chemo-mechanical coupling in granular materials


A Phase-Field Study on the Effects of Nanoparticles on Solidification and Grain Growth


A Phenomenological Approach to Interactive Knot Diagrams


A Phylogenetic Approach to Genomic Language Modeling


A Phylogenetic Model of the Evolution of Discrete Matrices for the Joint Inference of Lexical and Phonological Language Histories


A Phylogeny-based Test of Mediation Effect in Microbiome


A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame Prediction


A Physical Embedding Model for Knowledge Graphs


A Physical Model for Microstructural Characterization and Segmentation of 3D Tomography Data


A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation


A Physically Consistent Stiffness Formulation for Contact-Rich Manipulation


A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs


A Physics Preserving Neural Network Based Approach for Constitutive Modeling of Isotropic Fibrous Materials


A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data


A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics Simulations


A Physics-Informed Deep Learning Model for MRI Brain Motion Correction


A Physics-Informed Variational Autoencoder for Rapid Galaxy Inference and Anomaly Detection


A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity