yusuke1997/dblp-id-title huggingface dataset:
Time-optimal Coordination of Mobile Robots along Specified Paths
Serialized Output Prompting for Large Language Model-based Multi-Talker Speech Recognition
Path-based summary explanations for graph recommenders - extended version
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
Parallel Computational Tree Logic
Stanford Pupper: A Low-Cost Agile Quadruped Robot for Benchmarking and Education
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification
Occupation measure methods for modelling and analysis of biological hybrid automata
Embodying Physical Computing into Soft Robots
A Reasoning Engine for the Gamification of Loop-Invariant Discovery
Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling
Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs
Hermite-type modifications of BOBYQA for optimization with some partial derivatives
Evaluating PDE discovery methods for multiscale modeling of biological signals
Linearizing a nonlinear eigenvalue problem with quadratic rational eigenvector nonlinearities
Probabilistic approximation of fully nonlinear second-order PIDEs with convergence rates for the universal robust limit theorem
On the Information Content of Predictions in Word Analogy Tests
Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits
Bernays-Schönfinkel-Ramsey with Simple Bounds is NEXPTIME-complete
Nondeterministic automatic complexity of almost square-free and strongly cube-free words
Message-Passing Algorithms for Packing and Covering Linear Programs with Zero-One Matrices
Dual-to-kernel learning with ideals
Tight Exact and Approximate Algorithmic Results on Token Swapping
Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings
A Comparison of Image Denoising Methods
Maestro: A Python library for multi-carrier energy district optimal control design
Autonomous Microscopy Experiments through Large Language Model Agents
Preventing Non-intrusive Load Monitoring Privacy Invasion: A Precise Adversarial Attack Scheme for Networked Smart Meters
How Do Graph Networks Generalize to Large and Diverse Molecular Systems?
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules
A New Run-based Connected Component Labeling for Efficiently Analyzing and Processing Holes
Exploring the Impact of ChatGPT on Student Interactions in Computer-Supported Collaborative Learning
Evaluating Structured Output Robustness of Small Language Models for Open Attribute-Value Extraction from Clinical Notes
First steps towards Computational Polynomials in Lean
Active Intent Disambiguation for Shared Control Robots
Decomposing Word Embedding with the Capsule Network
Enabling Smart Retrofitting and Performance Anomaly Detection for a Sensorized Vessel: A Maritime Industry Experience
Infinite Mobility: Scalable High-Fidelity Synthesis of Articulated Objects via Procedural Generation
Bayesian Outdoor Defect Detection
Classifying Malware Images with Convolutional Neural Network Models
Symbolic Models for Stochastic Switched Systems: A Discretization and a Discretization-Free Approach
An Artificial Intelligence Driven Semantic Similarity-Based Pipeline for Rapid Literature
Arc Routing Problems with Multiple Trucks and Drones: A Hybrid Genetic Algorithm
Sparse 𝓁 1 and 𝓁 2 Center Classifiers
The convergence guarantee of the iterative thresholding algorithm with suboptimal feedbacks for large systems
Parallel/Distributed Tabu Search for Scheduling Microprocessor Tasks in Hybrid Flowshop
Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations
Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages
Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning
Extending the OWASP Multi-Agentic System Threat Modeling Guide: Insights from Multi-Agent Security Research
How to Train Data-Efficient LLMs
Higher-order Linear Attention
Cross-Entropy Method Variants for Optimization
FPGA-QHAR: Throughput-Optimized for Quantized Human Action Recognition on The Edge
Towards quantitative measures in applied ontology
The Accuracy of Restricted Boltzmann Machine Models of Ising Systems
Towards Continuous Assurance with Formal Verification and Assurance Cases
A new characterization of stabilizing cycles for switched linear systems
Heuristic Black-box Adversarial Attacks on Video Recognition Models
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network
Joint Communication-Motion Planning in Wireless-Connected Robotic Networks: Overview and Design Guidelines
A General Framework for Fairness in Multistakeholder Recommendations
What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems
Nonholonomic Narrow Dead-End Escape with Deep Reinforcement Learning
An Interior Penalty coupling strategy for Isogeometric non-conformal Kirchhoff-Love shell patches
Fast Asynchronous Parallel Stochastic Gradient Decent
Med-Banana-50K: A Cross-modality Large-Scale Dataset for Text-guided Medical Image Editing
A Pathway to Practical Quantum Advantage in Solving Navier-Stokes Equations
Benchmarking MLLM-based Web Understanding: Reasoning, Robustness and Safety
Classification Tree Diagrams in Health Informatics Applications
Asymptotic Mutual Information Analysis for Double-scattering MIMO Channels: A New Approach by Gaussian Tools
SuperPoint-SLAM3: Augmenting ORB-SLAM3 with Deep Features, Adaptive NMS, and Learning-Based Loop Closure
Planning with Pixels in (Almost) Real Time
MI CAM: Mutual Information Weighted Activation Mapping for Causal Visual Explanations of Convolutional Neural Networks
RCScore: Quantifying Response Consistency in Large Language Models
Random Forests Can Hash
Clinical Named Entity Recognition using Contextualized Token Representations
From Cloud to Edge: A First Look at Public Edge Platforms
Analytic Methods for Geometric Modeling via Spherical Decomposition
ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection
E2E Web Test Dependency Detection using NLP
Maintaining reliability while navigating unprecedented uncertainty: a synthesis of and guide to advances in electric sector resource adequacy
The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers
Categorizing Flight Paths using Data Visualization and Clustering Methodologies
Channel Hardening in Massive MIMO - A Measurement Based Analysis
Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach
DeepLens: Shallow Depth Of Field From A Single Image
Recent advances in rigorous computation of Poincaré maps
Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities
LLM-Driven Self-Refinement for Embodied Drone Task Planning
Agentic-AI Healthcare: Multilingual, Privacy-First Framework with MCP Agents
Prediction-based Adaptation (PRADA) Algorithm for Modulation and Coding
A Riemannian Barycentric Interpolation : Derivation of the Parametric Unsteady Navier-Stokes Reduced Order Model
Multi-agent Markov Entanglement
Optimizing Non-decomposable Measures with Deep Networks
Molecular Arithmetic Coding (MAC) for Internet of Bio-Nano Things (IoBNT)
Quantum de Finetti Theorems as Categorical Limits, and Limits of State Spaces of C*-algebras
Memory Efficient Adaptive Attention For Multiple Domain Learning
Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability
Representation learnt by SGD and Adaptive learning rules - Conditions that Vary Sparsity and Selectivity in Neural Network
3D Lidar Mapping Relative Accuracy Automatic Evaluation Algorithm
Probabilistic Massive MIMO Channel Estimation with Built-in Parameter Estimation
Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
Understanding Parameter Saliency via Extreme Value Theory
Kallima: A Clean-label Framework for Textual Backdoor Attacks
An RFP dataset for Real, Fake, and Partially fake audio detection
Bandit Learning in Matching Markets: Utilitarian and Rawlsian Perspectives
DTCCL: Disengagement-Triggered Contrastive Continual Learning for Autonomous Bus Planners
Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems
The Role of Pre-Training in High-Resolution Remote Sensing Scene Classification
Comparison of quantum channels
RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction
The Impact of Sanctions on decentralised Privacy Tools: A Case Study of Tornado Cash
Asymptotic Behavior of Adversarial Training Estimator under 𝓁 ∞ -Perturbation
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis
A Survey on Soft Subspace Clustering
A Qualitative Evaluation of User Preference for Link-based vs. Text-based Recommendations of Wikipedia Articles
REPS: Reconstruction-based Point Cloud Sampling
Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning
Habits and goals in synergy: a variational Bayesian framework for behavior
Investigating the effectiveness of Variance Reduction Techniques in Manufacturing, Call Center and Cross-docking Discrete Event Simulation Models
FEABench: Evaluating Language Models on Multiphysics Reasoning Ability
Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition
Container pre-marshalling problem minimizing CV@R under uncertainty of ship arrival times
Assessing Open-world Forgetting in Generative Image Model Customization
Improving the Robustness of Speech Translation
Locally Adaptive Conformal Inference for Operator Models
Generalization Error of f -Divergence Stabilized Algorithms via Duality
Emergence of Writing Systems Through Multi-Agent Cooperation
A simple yet efficient algorithm for multiple kernel learning under elastic-net constraints
ARIW-Framework: Adaptive Robust Iterative Watermarking Framework
CST5: Data Augmentation for Code-Switched Semantic Parsing
Intelligent Ranking for Dynamic Restoration in Next Generation Wireless Networks
Numerical Schemes for 3-Wave Kinetic Equations: A Complete Treatment of the Collision Operator
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning
Query Containment for Highly Expressive Datalog Fragments
AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory
Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow
On Hate Scaling Laws For Data-Swamps
Mathematical decisions and non-causal elements of explainable AI
A data-driven approach to modeling brain activity using differential equations
Basic Tradeoffs for Energy Management in Rechargeable Sensor Networks
Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
PGT-Net: Progressive Guided Multi-task Neural Network for Small-area Wet Fingerprint Denoising and Recognition
Taming the Tail: NoI Topology Synthesis for Mixed DL Workloads on Chiplet-Based Accelerators
Improving Performance of heavily loaded agents
Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation
Trajectory-Based Recognition of Dynamic Persian Sign Language Using Hidden Markov Model
Particle Swarm Optimization for Mobility Load Balancing SON in LTE Networks
A New Class of Linear Codes
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease
Exemplar-free Online Continual Learning
Coverage Region Analysis for MIMO Amplify-and-Forward Relay Channel with the Source to Destination Link
Rectified Point Flow: Generic Point Cloud Pose Estimation
Rolling Horizon Coverage Control with Collaborative Autonomous Agents
Learning Online Policies for Person Tracking in Multi-View Environments
IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System
Correlating Effectiveness of Pointer Analysis Techniques with Patterns in Embedded System Code
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning
REACT: Real-time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles
Highly accurate operator factorization methods for the integral fractional Laplacian and its generalization
An Introduction to the Patstat Database with Example Queries
Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics
An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
Maximizing Data Rate for Multiway Relay Channels with Pairwise Transmission Strategy
CONCISE: Compressed 'n' Composable Integer Set
MRI-MECH: Mechanics-informed MRI to estimate esophageal health
Functional Mean Flow in Hilbert Space
Generalized Capacity Planning for the Hospital-Residents Problem
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
Systematically Examining Reproducibility: A Case Study for High Throughput Sequencing using the PRIMAD Model and BioCompute Object
Local Manifold Augmentation for Multiview Semantic Consistency
Manifesto from Dagstuhl Perspectives Workshop 24352 - Conversational Agents: A Framework for Evaluation (CAFE)
PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint
Large-Scale MIMO versus Network MIMO for Multicell Interference Mitigation
Distributed Algorithms for Optimal Rate-Reliability Tradeoff in Networks
k-Cut: A Simple Approximately-Uniform Method for Sampling Ballots in Post-Election Audits
Dynamic Perturbed Adaptive Method for Infinite Task-Conflicting Time Series
The Budget-Constrained Functional Dependency
Fourier-Motzkin Elimination Software for Information Theoretic Inequalities
Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders
Transparent and Efficient Live Migration across Heterogeneous Hosts with Wharf
Characterization and computation of infinite horizon specifications over Markov processes
Sparse Black-box Video Attack with Reinforcement Learning
CWFBind: Geometry-Awareness for Fast and Accurate Protein-Ligand Docking
Stunned by Sleeping Beauty: How Prince Probability updates his forecast upon their fateful encounter
Frequency Domain TOF: Encoding Object Depth in Modulation Frequency
Toward Multimodal Interaction in Scalable Visual Digital Evidence Visualization Using Computer Vision Techniques and ISS
Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors
Towards an Arabic-English Machine-Translation Based on Semantic Web
AI Urban Scientist: Multi-Agent Collaborative Automation for Urban Research
Atrial Fibrillation Recurrence Risk Prediction from 12-lead ECG Recorded Pre- and Post-Ablation Procedure
Variational Bi-LSTMs
Objects Matter: Learning Object Relation Graph for Robust Camera Relocalization
QFrCoLA: a Quebec-French Corpus of Linguistic Acceptability Judgments
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
Experimental Information and Statistical Modeling of Physical Laws
Novel 16-QAM and 64-QAM Near-Complementary Sequences with Low PMEPR in OFDM Systems
Efficiently matching random inhomogeneous graphs via degree profiles
Online Real-Time Recurrent Learning Using Sparse Connections and Selective Learning
Processing through encoding: Quantum circuit approaches for point-wise multiplication and convolution
DesignCoder: Hierarchy-Aware and Self-Correcting UI Code Generation with Large Language Models
An Efficient Permutation-Based Kernel Two-Sample Test
DIA-MOLE: An Unsupervised Learning Approach to Adaptive Dialogue Models for Spoken Dialogue Systems
Interpret Your Care: Predicting the Evolution of Symptoms for Cancer Patients
Symplectic Neural Flows for Modeling and Discovery
Efficient Sparse Processing-in-Memory Architecture (ESPIM) for Machine Learning Inference
Batch Estimation of a Steady, Uniform, Flow-Field from Ground Velocity and Heading Measurements
Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis
Recruiting Hay to Find Needles: Recursive Incentives and Innovation in Social Networks
Mechanisms of Non-Monotonic Scaling in Vision Transformers
Numerical Approximation for Stochastic Nonlinear Fractional Diffusion Equation Driven by Rough Noise
Autoencoder-Based Detection of Anomalous Stokes V Spectra in the Flare-Producing Active Region 13663 Using Hinode/SP Observations
Low Delay Scheduling of Objects Over Multiple Wireless Paths
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles
Quantum Polar Metric Learning: Efficient Classically Learned Quantum Embeddings
Cooperative Multiplexing: Toward Higher Spectral Efficiency in Multi-antenna Relay Networks
Early Routability Assessment in VLSI Floorplans: A Generalized Routing Model
Covfefe: A Computer Vision Approach For Estimating Force Exertion
On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron
Adaptive Motion Planning via Contact-Based Intent Inference for Human-Robot Collaboration
Stability and Robustness of Time-discretization Schemes for the Allen-Cahn Equation via Bifurcation and Perturbation Analysis
Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling
On the Covariance-Hessian Relation in Evolution Strategies
Cluster-based Video Summarization with Temporal Context Awareness
Partially Observable Monte-Carlo Graph Search
Scalability of the plasma physics code GEM
Sequential Active Detection of Anomalies in Heterogeneous Processes
Social Cheesecake: An UX-driven designed interface for managing contacts
Multi-Agent Reinforcement Learning from Human Feedback: Data Coverage and Algorithmic Techniques
Brain Interface Based Wheel Chair Control System for Handicap - An advance and viable approach
Exploring Sentiment Manipulation by LLM-Enabled Intelligent Trading Agents
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases
The Book of Life approach: Enabling richness and scale for life course research
On MITL and alternating timed automata
Wavefront Coding for Accommodation-Invariant Near-Eye Displays
Chemistry42: An AI-based platform for de novo molecular design
Occlusion-aware Risk Assessment and Driving Strategy for Autonomous Vehicles Using Simplified Reachability Quantification
Enhancing PINN Accuracy for the RLW Equation: Adaptive and Conservative Approaches
Abstracting Event-Driven Systems with Lifestate Rules
Error Analysis of Douglas-Rachford Algorithm for Linear Inverse Problems: Asymptotics of Proximity Operator for Squared Loss
Stability of two-dimensional SISO LTI system with bounded feedback gain that has bounded derivative
SePA: A Search-enhanced Predictive Agent for Personalized Health Coaching
A Hybrid Deep Animation Codec for Low-bitrate Video Conferencing
Experimental Characterization of Robot Arm Rigidity in Order to Be Used in Machining Operation
Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
AVDDPG: Federated reinforcement learning applied to autonomous platoon control
A Bridge Between Hyperparameter Optimization and Larning-to-learn
MapReduce Particle Filtering with Exact Resampling and Deterministic Runtime
Lay-it-out: Interactive Design of Layout-Sensitive Grammars
Characterizing Watermark Numbers encoded as Reducible Permutation Graphs against Malicious Attacks
Using Petri Nets for Context-Adaptive Robot Explanations
Zero-P-to-3: Zero-Shot Partial-View Images to 3D Object
Imaging of buried obstacles in a two-layered medium with phaseless far-field data
Design, Development, and Deployment of Context-Adaptive AI Systems for Enhanced End-User Adoption
Testing Uniformity of Stationary Distribution
LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks
Temporal Debugging using URDB
Improved Bounds on RIP for Generalized Orthogonal Matching Pursuit
NAVI: Neighbor Aware Virtual Infrastructure for Information Dissemination in Vehicular Networks
Efficient and Privacy Preserving Group Signature for Federated Learning
Data Separability for Neural Network Classifiers and the Development of a Separability Index
Quantum Observers: A NISQ Hardware Demonstration of Chaotic State Prediction Using Quantum Echo-state Networks
With Registered Reports Towards Large Scale Data Curation
The DIR Net: A Distributed System for Detection, Isolation, and Recovery
Survey on some optimization possibilities for data plane applications
Understanding Adversarial Transfer: Why Representation-Space Attacks Fail Where Data-Space Attacks Succeed
UAV-assisted Semantic Communication with Hybrid Action Reinforcement Learning
One-Shot Neural Architecture Search via Compressive Sensing
The Fox and the Hound: Comparing Fully Abstract and Robust Compilation
Hybrid Global Causal Discovery with Local Search
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
Similarity-First Search: a new algorithm with application to Robinsonian matrix recognition
UniNet: Next Term Course Recommendation using Deep Learning
Optimization of Inter-group Criteria for Clustering with Minimum Size Constraints
AI-Powered Cow Detection in Complex Farm Environments
T2IW: Joint Text to Image & Watermark Generation
VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning Tasks
Open-source High-precision Autonomous Suturing Framework With Visual Guidance
Ultra-low power sensor devices for monitoring physical activity and respiratory frequency in farmed fish
Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks
A networked voting rule for democratic representation
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels
Sparse Signal Recovery From Phaseless Measurements via Hard Thresholding Pursuit
Towards Unbiased Cross-Modal Representation Learning for Food Image-to-Recipe Retrieval
Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data
Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data
Who Provides the Largest Megaphone? The Role of Google News in Promoting Russian State-Affiliated News Sources
Seeking Specifications: The Case for Neuro-Symbolic Specification Synthesis
RAG Makes Guardrails Unsafe? Investigating Robustness of Guardrails under RAG-style Contexts
ML-based tunnel detection and tunneled application classification
Progressive Neural Representation for Sequential Video Compilation
The application of data mining techniques to support customer relationship management: the case of ethiopian revenue and customs authority
High Throughput Probabilistic Shaping with Product Distribution Matching
It's about time: Online Macrotask Sequencing in Expert Crowdsourcing
Applying GIS Concepts to a Pervasive Game: Spatiotemporal Modeling and Analysis Using the Triad Representational Framework
Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense
Empowering Enterprise Development by Building and Deploying Admin Dashboard using Refine Framework
A low-rank balanced truncation approach for large-scale RLCk model order reduction based on extended Krylov subspace and a frequency-aware convergence criterion
A tertiary review on quantum cryptography
Generalized Reinforcement Learning for Retriever-Specific Query Rewriter with Unstructured Real-World Documents
On the Solution of Graph Isomorphism by Dynamical Algorithms
Functional differentiations in evolutionary reservoir computing networks
Circuits with arbitrary gates for random operators
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics
Hybrid Physical-Neural ODEs for Fast N-body Simulations