yusuke1997/dblp-id-title huggingface dataset:
AI Apology: A Critical Review of Apology in AI Systems
Fixing 7,400 Bugs for 1$: Cheap Crash-Site Program Repair
Les crashs sont rationnels
Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network
User Attention and Behaviour in Virtual Reality Art Encounter
Kernel-based Joint Multiple Graph Learning and Clustering of Graph Signals
Random perturbation and matrix sparsification and completion
Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
Synthesizing Strategies for Needle Steering in Gelatin Phantoms
Cost and Actual Causation
What makes a phase transition? Analysis of the random satisfiability problem
On the Theoretical Foundation of Overset Grid Methods for Hyperbolic Problems II: Entropy Bounded Formulations for Nonlinear Conservation Laws
Supervised learning with generalized tensor networks
Incremental Observer Reduction Applied to Opacity Verification and Synthesis
AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning
Nonuniqueness of Solutions of a Class of 𝓁 0 -minimization Problems
Modularizing while Training: a New Paradigm for Modularizing DNN Models
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis
Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets
Visualizing Comparisons of Bills of Materials
Support Vector Machine-Based Fire Outbreak Detection System
Silenzio: Secure Non-Interactive Outsourced MLP Training
Verification of Object-Oriented Programs: a Transformational Approach
DeepZensols: Deep Natural Language Processing Framework
Duality theory in linear optimization and its extensions - formally verified
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee
From EHRs to Patient Pathways: Scalable Modeling of Longitudinal Health Trajectories with LLMs
Composed Image Retrieval for Training-Free Domain Conversion
Joint Error Correction and Fading Channel Estimation Enhancement Leveraging GRAND
TextHide: Tackling Data Privacy in Language Understanding Tasks
Review of Methods for Handling Class-Imbalanced in Classification Problems
Linking Physical Objects to Their Digital Twins via Fiducial Markers Designed for Invisibility to Humans
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns
The Impact of User Location on Cookie Notices (Inside and Outside of the European Union)
Analytically-Driven Resource Management for Cloud-Native Microservices
5G Waveforms for Overlay D2D Communications: Effects of Time-Frequency Misalignment
Leveraging LLMs for Design Ideation: An AI Tool to Assist Creativity
Minimizing Cache Timing Attack Using Dynamic Cache Flushing (DCF) Algorithm
DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation
Distance-Aware Occlusion Detection with Focused Attention
Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance
A new WENO-2r algorithm with progressive order of accuracy close to discontinuities
Statistical-mechanical analysis of pre-training and fine tuning in deep learning
Optimizing Multi-Tier Supply Chain Ordering with a Hybrid Liquid Neural Network and Extreme Gradient Boosting Model
StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
A Lane-Change Path Planner and its application with a monocular camera
The Debugging Decay Index: Rethinking Debugging Strategies for Code LLMs
Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios
Carving Nature/Conceptual Models at Joints Using Thinging Machines
Computable Approximations of Semicomputable Graphs
Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
AD-DAE: Unsupervised Modeling of Longitudinal Alzheimer's Disease Progression with Diffusion Auto-Encoder
Low-delay, High-rate Non-square Complex Orthogonal Designs
A new Local Radon Descriptor for Content-Based Image Search
Graph Watermarks
Calibration Improves Bayesian Optimization
differint: A Python Package for Numerical Fractional Calculus
Transportation Transformed: A Comprehensive Review of Dynamic Rerouting in Multimodal Networks
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition
Practitioners' Expectations on Code Completion
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
A Brief Introduction on Shannon's Information Theory
Dimension Coupling: Optimal Active Learning of Halfspaces via Query Synthesis
On the Convergence of Population Protocols When Population Goes to Infinity
InterSyn: Interleaved Learning for Dynamic Motion Synthesis in the Wild
Towards a new quantum cognition model
Spatially quasi-periodic water waves of finite depth
PINN-MEP: Continuous Neural Representations for Minimum-Energy Path Discovery in Molecular Systems
Adaptive Discretization for Adversarial Bandits with Continuous Action Spaces
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model
Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection
Gradient-Free Adversarial Attacks for Bayesian Neural Networks
An improved return-mapping scheme for nonsmooth plastic potentials: PART II - the Mohr-Coulomb yield criterion
Geometric Semigroup Theory
A Machine Learning Based Approach to Categorize Research Journals
Parallel Computing of Discrete Element Method on GPU
Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction
TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
Consensus Control of Linear Multi-Agent Systems with Non-uniform Time-varying Communication Delays
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation
Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis
Can SAR improve RSVQA performance?
Im2Struct: Recovering 3D Shape Structure from a Single RGB Image
VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation
On the Interactive Communication Cost of the Distributed Nearest Lattice Point Problem
Neural-Augmented Kelvinlet: Real-Time Soft Tissue Deformation with Multiple Graspers
Stable state and signal estimation in a network context
Quantum adiabatic optimization without heuristics
Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation
Adapting Probabilistic Risk Assessment for AI
A Computational Framework for Motor Skill Acquisition
Nonlinear Granger Causality using Kernel Ridge Regression
Online Selection of CMA-ES Variants
Learning an Ensemble of Deep Fingerprint Representations
A Variational Inequality Perspective on Generative Adversarial Nets
Explicit Performance Bound of Finite Blocklength Coded MIMO: Time-Domain versus Spatiotemporal Channel Coding
Synthetic learner: model-free inference on treatments over time
Machine Learning and System Identification for Estimation in Physical Systems
User Support for the Combinator Logic Synthesizer Framework
Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art
On the Mathematical Structure of Cascade Effects and Emergent Phenomena
Investigating Document Type, Language, Publication Year, and Author Count Discrepancies Between OpenAlex and Web of Science
Identification of arabic word from bilingual text using character features
An Equilibrium Framework for Players with Misspecified Models
On the mapping of Points of Interest through StreetView imagery and paid crowdsourcing
Gaussian Mixture Models for Affordance Learning using Bayesian Networks
Signal-based AI-driven software solution for automated quantification of metastatic bone disease and treatment response assessment using Whole-Body Diffusion-Weighted MRI (WB-DWI) biomarkers in Advanced Prostate Cancer
Constrained Flows in Networks
What is Learned in Knowledge Graph Embeddings?
How Real Is AI Tutoring? Comparing Simulated and Human Dialogues in One-on-One Instruction
SPHERE: Scaling Personalized Feedback in Programming Classrooms with Structured Review of LLM Outputs
A high-order implicit time integration method for linear and nonlinear dynamics with efficient computation of accelerations
Cooperative Open-ended Learning Framework for Zero-shot Coordination
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement Learning in a Connected Driving Environment
Brief Note: Fast Authenticated Byzantine Consensus
Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution Network
Revisiting Fully Homomorphic Encryption Schemes
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond
Delegation to autonomous agents promotes cooperation in collective-risk dilemmas
Analytical Estimation of Carrier Phase Recovery Approaches in Long-Haul High-Speed Optical Communication Systems
Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks
ModalChorus: Visual Probing and Alignment of Multi-modal Embeddings via Modal Fusion Map
Searching Polyhedra by Rotating Planes
Link Approximation Performance Ratio and Average Convergence Rate
Social Media Text Processing and Semantic Analysis for Smart Cities
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units
Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models
Gradient Boosting Decision Tree with LSTM for Investment Prediction
A Convergence Analysis of Nesterov's Accelerated Gradient Method in Training Deep Linear Neural Networks
A Survey Analyzing Generalization in Deep Reinforcement Learning
Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith
The conjugate gradient algorithm on a general class of spiked covariance matrices
Sparse Equation Matching: A Derivative-Free Learning for General-Order Dynamical Systems
Mem3DG: Modeling Membrane Mechanochemical Dynamics in 3D using Discrete Differential Geometry
Practical Exposure Correction: Great Truths Are Always Simple
Perturbed Message Passing for Constraint Satisfaction Problems
Autoregressive Video Generation beyond Next Frames Prediction
Towards Soft Circuit Breaking in Service Meshes via Application-agnostic Caching
Genetic Algorithm with Ensemble Learning for Detecting Community Structure in Complex Networks
Two-Stage Architectural Fine-Tuning with Neural Architecture Search using Early-Stopping in Image Classification
A General Framework for Dynamic MAPF using Multi-Shot ASP and Tunnels
BioSNet: A Fast-Learning and High-Robustness Unsupervised Biomimetic Spiking Neural Network
quantum Case-Based Reasoning (qCBR)
Safety Evaluation of Critical Applications Distributed on TDMA-Based Networks
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance
A reinforcement learning based construction material supply strategy using robotic crane and computer vision for building reconstruction after an earthquake
Hate speech detection in algerian dialect using deep learning
HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach
Reducing base drag on road vehicles using pulsed jets optimized by hybrid genetic algorithms
Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network
Are Depth-2 Regular Expressions Hard to Intersect?
Identifying Information from Observations with Uncertainty and Novelty
Optimization and generalization analysis for two-layer physics-informed neural networks without over-parametrization
Comparative Analysis of Power System Model Reduction
Permutation codes, source coding and a generalisation of Bollobás-Lubell-Yamamoto-Meshalkin and Kraft inequalities
Predictive reinforcement learning based adaptive PID controller
Visual Attention is Beyond One Single Saliency Map
Odyssey: An End-to-End System for Pareto-Optimal Serverless Query Processing
Spectrum-Diverse Neuroevolution with Unified Neural Models
Surgeons vs. Computer Vision: A comparative analysis on surgical phase recognition capabilities
Proximal Splitting Adversarial Attacks for Semantic Segmentation
Creating User-steerable Projections with Interactive Semantic Mapping
Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation
Uplift vs. predictive modeling: a theoretical analysis
GPU-based Commonsense Paradigms Reasoning for Real-Time Query Answering and Multimodal Analysis
Connectivity-preserving Geometry Images
A Differential Cryptanalysis of Yen-Chen-Wu Multimedia Cryptography System (MCS)
Memory Lower Bounds for Randomized Collaborative Search and Applications to Biology
OESense: Employing Occlusion Effect for In-ear Human Sensing
Probabilistic Impact Assessment of Network Tariffs in Low Voltage Distribution Networks
PAPER: Privacy-Preserving ResNet Models using Low-Degree Polynomial Approximations and Structural Optimizations on Leveled FHE
A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning
A Data-driven Approach to Actuator and Sensor Fault Detection, Isolation and Estimation in Discrete-Time Linear Systems
Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
Strategically-Motivated Advanced Persistent Threat: Definition, Process, Tactics and a Disinformation Model of Counterattack
A Framework for the Implementation of Industrial Automation Systems Based on PLCs
Designing Short-Stage CDC-XPUFs: Balancing Reliability, Cost, and Security in IoT Devices
Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines
Neural Unit Test Suggestions
Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning
Implicitly Normalized Online PCA: A Regularized Algorithm with Exact High-Dimensional Dynamics
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation
A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology
Parameterized Coloring Problems on Threshold Graphs
Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents
Context Aware Password Guessability via Multi-Dimensional Rank Estimation
Safer in the Clouds (Extended Abstract)
On the Computing Power of +, -, and ˟
Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning
AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
On the Effectiveness of Creating Conversational Agent Personalities Through Prompting
Design and Development of an Expert System to Help Head of University Departments
Multimodal Graph Learning for Generative Tasks
Computing Radially-Symmetric Solutions of the Ultra-Relativistic Euler Equations with Entropy-Stable Discontinuous Galerkin Methods
New Construction of Complementary Sequence (or Array) Sets and Complete Complementary Codes (I)
Towards Efficient Maximum Likelihood Estimation of LPV-SS Models
"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth
Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs
Knowledge-guided Continual Learning for Behavioral Analytics Systems
A Linear Variational Principle for Riemann Mapping and Discrete Conformality
Generalized continuation Newton methods and the trust-region updating strategy for the underdetermined system
Structure-aware generation of drug-like molecules
Model-free Legibility: Enhancing Human-Robot Interactions through Implicit Communication and Influence Modulation
Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes
Algorithms for Recursive Block Matrices
RoboCar: A Rapidly Deployable Open-Source Platform for Autonomous Driving Research
Sharp convergence to steady states of Allen-Cahn
Bi-Skip: A Motion Deblurring Network Using Self-paced Learning
Designing Algorithmic Recommendations to Achieve Human-AI Complementarity
Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? - Application to proton therapy dose prediction for head and neck cancer patients
Scalable intensity-based photonic matrix-vector multiplication processor using single-wavelength time-division-multiplexed signals
Robust State Feedback Control Design with Probabilistic System Parameters
Knowledge Representation in Agent's Logic with Uncertainty and Agent's Interaction
Monomial-like codes
Non-asymptotic Analysis of ℓ 1 -norm Support Vector Machines
A Hierarchical Integer Linear Programming Approach for Optimizing Team Formation in Education
Empirical Study on Airline Delay Analysis and Prediction
MedBridge: Bridging Foundation Vision-Language Models to Medical Image Diagnosis
Beyond WER: Probing Whisper's Sub-token Decoder Across Diverse Language Resource Levels
PV Fleet Modeling via Smooth Periodic Gaussian Copula
An Improved NeuMIP with Better Accuracy
Electrical System Architecture for Aviation Electrification
Quantitative Comparison Between Crowd Models for Evacuation Planning and Evaluation
On the Performance of Visible Light Communications Systems with Non-Orthogonal Multiple Access
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
PFed-Signal: An ADR Prediction Model based on Federated Learning
Verifying Equivalence of Database-Driven Applications
Improving Learning from Demonstrations by Learning from Experience
DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement
Statistical Estimation with Strategic Data Sources in Competitive Settings
TotalRegistrator: Towards a Lightweight Foundation Model for CT Image Registration
The Online Behaviour of the Algerian Abusers in Social Media Networks
Compromise-free Bayesian neural networks
Cryptographically Secure Pseudo-Random Number Generation (CS-PRNG) Design using Robust Chaotic Tent Map (RCTM)
On the shortest path game: extended version
What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
Equilibria Interchangeability in Cellular Games
Rank properties and computational methods for orthogonal tensor decompositions
Parallel Exponential Time Differencing Methods for Geophysical Flow Simulations
A Mean-field Approach for an Intercarrier Interference Canceller for OFDM
The Polite Liar: Epistemic Pathology in Language Models
KG-BERT: BERT for Knowledge Graph Completion
Some characterizations of Sturmian words in terms of the lexicographic order
Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories
A Dual-Attention Graph Network for fMRI Data Classification
Improving the stability and efficiency of high-order operator-splitting methods
On Construction of Approximate Real Mutually Unbiased Bases for an infinite class of dimensions d ≢ 0 mod 4
Computation of Centroidal Voronoi Tessellations in High Dimensional spaces
DUAL: Diversity and Uncertainty Active Learning for Text Summarization
Contrastive Time Series Forecasting with Anomalies
Accelerated stochastic first-order method for convex optimization under heavy-tailed noise
Research on innovation in China and Latin America: Bibliometric insights in the field of business, management and decision sciences
Social nucleation: Group formation as a phase transition
Reproducibility Needs Reshape Scientific Data Governance
DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax
Category coding with neural network application
Shape is (almost) all!: Persistent homology features (PHFs) are an information rich input for efficient molecular machine learning
Strong Normalizability as a Finiteness Structure via the Taylor Expansion of λ-terms
True Concurrency Can Be Easy
CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test
CSI-Net: Unified Human Body Characterization and Action Recognition
Establishing Markov Equivalence in Cyclic Directed Graphs
Optimal Simple Regret in Bayesian Best Arm Identification
Benchmarking database performance for genomic data
Distributed Spatial Multiplexing Systems with Hardware Impairments and Imperfect Channel Estimation under Rank-1 Rician Fading Channels
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators
Estimating exercise-induced fatigue from thermal facial images
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Keypoints for Indoor Localization
Conditional Generative Modeling for Images, 3D Animations, and Video
On the Envy-free Allocation of Chores
In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking
Matrix Diagonalization as a Board Game: Teaching an Eigensolver the Fastest Path to Solution
Key-Sparse Transformer with Cascaded Cross-Attention Block for Multimodal Speech Emotion Recognition
Zero Error Coordination
ConvFormer: Parameter Reduction in Transformer Models for 3D Human Pose Estimation by Leveraging Dynamic Multi-Headed Convolutional Attention
Guided Transfer Learning for Discrete Diffusion Models
Designing and Training of A Dual CNN for Image Denoising
The Art of Staying Ahead of Deadlines: Improved Algorithms for the Minimum Tardy Processing Time
DoSA : A System to Accelerate Annotations on Business Documents with Human-in-the-Loop
Weak Unit Disk Contact Representations for Graphs without Embedding
Bayesian Optimization for Machine Learning : A Practical Guidebook
Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
Is Multilingual BERT Fluent in Language Generation?
Category-based Galaxy Image Generation via Diffusion Models
Voting Power : A Generalised Framework
A p-adaptive polytopal discontinuous Galerkin method for high-order approximation of brain electrophysiology
PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset
Event-based Camera Pose Tracking using a Generative Event Model
Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine
Approximate Abstractions of Markov Chains with Interval Decision Processes (Extended Version)
Anti-Jamming Games for Multi-User Multi-Band Networks
Continuous Histograms for Anisotropy of 2D Symmetric Piece-wise Linear Tensor Fields
Scalable Evaluation and Neural Models for Compositional Generalization
On the block Eberlein diagonalization method
Design of a Representation Information Repository for the Long-Term Usability of Digital Building Documents
Continuous Benchmark Generation for Evaluating Enterprise-scale LLM Agents
uARMSolver: A framework for Association Rule Mining
APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs
Data Scaling in OBDA Benchmarks: The VIG Approach
DiRL: An Efficient Post-Training Framework for Diffusion Language Models
Cancer Prognosis Prediction Using Balanced Stratified Sampling
White-Basilisk: A Hybrid Model for Code Vulnerability Detection
Alignment and Adversarial Robustness: Are More Human-Like Models More Secure?
Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery
Simplicity-Expressiveness Tradeoffs in Mechanism Design
Beyond Black Box Densities: Parameter Learning for the Deviated Components
Optimizing the Deployment of Electric Vehicle Charging Stations Using Pervasive Mobility Data
Clustering with Neural Network and Index