yusuke1997/dblp-id-title huggingface dataset:
Affordance Representation and Recognition for Autonomous Agents
A generalised significance test for individual communities in networks
Photo Rater: Photographs Auto-Selector with Deep Learning
SMT-based Safety Verification of Parameterised Multi-Agent Systems
Federated Large Language Models: Feasibility, Robustness, Security and Future Directions
Toward AI-enhanced online-characterization and shaping of ultrashort X-ray free-electron laser pulses
A comprehensive generalization of the Friendship Paradox to weights and attributes
SIRAN: Sinkhorn Distance Regularized Adversarial Network for DEM Super-resolution using Discriminative Spatial Self-attention
Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning
Can AI be Auditable?
Efficient Graph Compression Using Huffman Coding Based Techniques
Load Balancing with Dynamic Set of Balls and Bins
The Complexity of Iterated Strategy Elimination
Efficient solutions to the relative pose of three calibrated cameras from four points using virtual correspondences
Inducing Uncertainty on Open-Weight Models for Test-Time Privacy in Image Recognition
Range-relaxed criteria for choosing the Lagrange multipliers in nonstationary iterated Tikhonov method
FairGen: Towards Fair Graph Generation
Data-driven approximation and reduction from noisy data in matrix pencil frameworks
Analysing the Correlation of Geriatric Assessment Scores and Activity in Smart Homes
Carnegie Mellon Team Tartan: Mission-level Robustness with Rapidly Deployed Autonomous Aerial Vehicles in the MBZIRC 2020
Quantum Trojan Insertion: Controlled Activation for Covert Circuit Manipulation
Cryptotree: fast and accurate predictions on encrypted structured data
AI-Driven Skin Cancer Diagnosis: Grad-CAM and Expert Annotations for Enhanced Interpretability
On the stability of nucleic acid feedback controllers
Every Software as an Agent: Blueprint and Case Study
Pushing Through Clutter With Movability Awareness of Blocking Obstacles
Efficient Training for Human Video Generation with Entropy-Guided Prioritized Progressive Learning
Planning and Scheduling in Hybrid Domains Using Answer Set Programming
Defining the Collective Intelligence Supply Chain
Social Business Transformation through Gamification
Security and Privacy Analysis of Tile's Location Tracking Protocol
Practical Algorithms for STV and Ranked Pairs with Parallel Universes Tiebreaking
An Efficient Learning Control Framework With Sim-to-Real for String-Type Artificial Muscle-Driven Robotic Systems
Some Results Related to a Conjecture of Dirac's
Big AI is accelerating the metacrisis: What can we do?
RFCDE: Random Forests for Conditional Density Estimation
A Framework for Self-Tuning Optimization Algorithm
Completion Time in Two-user Channels: An Information-Theoretic Perspective
Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer
Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs
Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction
Open-Source Fermionic Neural Networks with Ionic Charge Initialization
Coherent branching feature bisimulation
HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference
CLPVG: Circular limited penetrable visibility graph as a new network model for time series
Stochastic Gradient Langevin Unlearning
AProVE: Modular Termination Analysis of Memory-Manipulating C Programs
Threaded Gröbner Bases: a Macaulay2 package
Evaluating Generative AI Systems is a Social Science Measurement Challenge
Spectral learning of dynamic systems from nonequilibrium data
Fast Data-independent KLT Approximations Based on Integer Functions
Portable, heterogeneous ensemble workflows at scale using libEnsemble
An AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19
Majority Vote for Distributed Differentially Private Sign Selection
Learning Phrase Embeddings from Paraphrases with GRUs
Task-aligned prompting improves zero-shot detection of AI-generated images by Vision-Language Models
Leveraging the Power of Graph Algorithms: Efficient Algorithms for Computer-Aided Verification
Improving Problem Identification via Automated Log Clustering using Dimensionality Reduction
The Maximum Block Size of Critical Random Graphs
Experience-based Refinement of Task Planning Knowledge in Autonomous Robots
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media
Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network for Adaptive Motion Integration
Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements
Some remarks on gradient dominance and LQR policy optimization
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
Graph Generation via Spectral Diffusion
AstroDS - A Distributed Storage for Astrophysics of Cosmic Rays. Current Status
A Sparse and Low-Rank Optimization Framework for Index Coding via Riemannian Optimization
Regret Minimization in Stochastic Contextual Dueling Bandits
SBP-FDEC: Summation-by-Parts Finite Difference Exterior Calculus
Evolutionary algorithms for constructing an ensemble of decision trees
A conformalized learning of a prediction set with applications to medical imaging classification
Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control
A Neural Network Transformer Model for Composite Microstructure Homogenization
SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection
Intra-Channel Nonlinearity Compensation Based on Second-Order Perturbation Theory
2DDATA: 2D Detection Annotations Transmittable Aggregation for Semantic Segmentation on Point Cloud
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
A Mathematical Perspective On Contrastive Learning
Implementation and Analysis of GPU Algorithms for Vecchia Approximation
Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks
Review on Set-Theoretic Methods for Safety Verification and Control of Power System
HARBOR: Holistic Adaptive Risk assessment model for BehaviORal healthcare
Towards Learning Generalizable Driving Policies from Restricted Latent Representations
HLTCOE Evaluation Team at TREC 2025: VQA Track
Automatic chemical design using a data-driven continuous representation of molecules
A peridynamics-based finite element method for quasi-static fracture analysis
A Novel Uncalibrated Visual Servoing Controller Baesd on Model-Free Adaptive Control Method with Neural Network
The Megopolis Resampler: Memory Coalesced Resampling on GPUs
Graphon-based sensitivity analysis of SIS epidemics
Revisiting Heat Flux Analysis of Tungsten Monoblock Divertor on EAST using Physics-Informed Neural Network
Deep Joint Source-Channel Coding for DNA Image Storage: A Novel Approach with Enhanced Error Resilience and Biological Constraint Optimization
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs
Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model
Boosting Team Modeling through Tempo-Relational Representation Learning
Moving Edge for On-Demand Edge Computing: An Uncertainty-aware Approach
MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation
Moral Narratives Around the Vaccination Discourse on the Facebook Platform
Employment of Multiple Algorithms for Optimal Path-based Test Selection Strategy
Unsupervised Video-to-Video Translation
Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares
spd-metrics-id: A Python Package for SPD-Aware Distance Metrics in Connectome Fingerprinting and Beyond
Why Synthetic Isn't Real Yet: A Diagnostic Framework for Contact Center Dialogue Generation
Joint Retransmission, Compression and Channel Coding for Data Fidelity under Energy Constraints
OoDDINO:A Multi-level Framework for Anomaly Segmentation on Complex Road Scenes
Improving Hierarchical Adversarial Robustness of Deep Neural Networks
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome
Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study
Algebraic Methods of Classifying Directed Graphical Models
Inferring network topology via the propagation process
Elements for Response Time Statistics in ERP Transaction Systems
A Functional Complexity Framework for the Analysis of Telecommunication Networks
Matchmaker: An Open-source Library for Real-time Piano Score Following and Systematic Evaluation
TextFlux: An OCR-Free DiT Model for High-Fidelity Multilingual Scene Text Synthesis
SLM as Guardian: Pioneering AI Safety with Small Language Models
Multi-Provider Resource Scheduling in Massive MIMO Radio Access Networks
Estimating the Conformal Prediction Threshold from Noisy Labels
Asymptotic Analysis of Spatial Coupling Coding for Compute-and-Forward Relaying
A minimax method for the spectral fractional Laplacian and related evolution problems
Information-Theoretic Distillation for Reference-less Summarization
A simple LAD-LASSO coordinate descent algorithm for interactive browser-based GPU applications
Breadth First Search Vectorization on the Intel Xeon Phi
Unveiling the Achilles' Heel: Backdoor Watermarking Forgery Attack in Public Dataset Protection
An existence and homogenization results of degenerate parabolic sand problem transport equations with robin boundary condition
EchoLock: Towards Low Effort Mobile User Identification
Semi-Submersible Wind Turbine Hull Shape Design for a Favorable System Response Behavior
Invariant Measures for Data-Driven Dynamical System Identification: Analysis and Application
Improving resource elasticity in cloud computing thanks to model-free control
The Mean of Multi-Object Trajectories
Smoothers Based on Nonoverlapping Domain Decomposition Methods for H(curl) Problems: A Numerical Study
Google Map Aided Visual Navigation for UAVs in GPS-denied Environment
Learned Best-Effort LLM Serving
A thermodynamical approach towards multi-criteria decision making (MCDM)
Maximal Palindromes in MPC: Simple and Optimal
Distributed Estimation with Decentralized Control for Quadruple-Tank Process
The dynamics of learning with feedback alignment
Building global and scalable systems with Atomic Multicast
Multi-Agent Model Predictive Control: A Survey
Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models
Rebalancing with Calibrated Sub-classes (RCS): A Statistical Fusion-based Framework for Robust Imbalanced Classification across Modalities
NAIST-SIC-Aligned: Automatically-Aligned English-Japanese Simultaneous Interpretation Corpus
Driving forces in researchers mobility
Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations
DMON: A Distributed Heterogeneous N-Variant System
The structure of information: from probability to homology
Understanding and Characterizing Cryptocurrency Free Giveaway and Arbitrage Bot Scams In the Wild
Learning to Locate Visual Answer in Video Corpus Using Question
Motion Planning with Safety Constraints and High-Level Task Specifications
Reliable Multi-Path Routing Schemes for Real-Time Streaming
AlphaDDA: game artificial intelligence with dynamic difficulty adjustment using AlphaZero
New Counting Codes for Distributed Video Coding
Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation
Efficient Monitoring of Hyperproperties using Prefix Trees
On reduced inertial PDE models for Cucker-Smale flocking dynamics
Mathematics of Deep Learning
Sensitivity Analysis of the Consistency Assumption
Aneumo: A Large-Scale Multimodal Aneurysm Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
SIX-Trust for 6G: Towards a Secure and Trustworthy 6G Network
Differentially Private Least Squares: Estimation, Confidence and Rejecting the Null Hypothesis
Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning
Efficient Characterization of Dynamic Response Variation Using Multi-Fidelity Data Fusion through Composite Neural Network
Will Humanity Be Rendered Obsolete by AI?
Improving Gebauer's construction of 3-chromatic hypergraphs with few edges
The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning
Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety
A hybrid parametric-deep learning approach for sound event localization and detection
Data Analytics for Improving Energy Efficiency in Short Sea Shipping
Optimizing towards the best insertion-based error-tolerating joints
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study
Joint Machine-Transporter Scheduling for Multistage Jobs with Adjustable Computation Time
Safe Control for Nonlinear Systems with Stochastic Uncertainty via Risk Control Barrier Functions
MoCap2GT: A High-Precision Ground Truth Estimator for SLAM Benchmarking Based on Motion Capture and IMU Fusion
Distributed Learning with Random Features
Focus Is All You Need: Loss Functions For Event-based Vision
Dynamic nonlinear multicontinuum homogenization of systems with intrinsically evolving microstructure
Kunster - AR Art Video Maker - Real time video neural style transfer on mobile devices
Extend Wave Function Collapse to Large-Scale Content Generation
Conversational no-code and multi-agentic disease module identification and drug repurposing prediction with ChatDRex
FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging
Online design of experiments by active learning for nonlinear system identification
Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions
Multidimensional unstructured sparse recovery via eigenmatrix
From Human Annotation to LLMs: SILICON Annotation Workflow for Management Research
Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation
Inferring temporal dynamics from cross-sectional data using Langevin dynamics
On the Inapproximability of Finding Minimum Monitoring Edge-Geodetic Sets
Adversarial Doodles: Interpretable and Human-drawable Attacks Provide Describable Insights
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs
Supporting Regularized Logistic Regression Privately and Efficiently
Polynomial Constraint Satisfaction: A Framework for Counting and Sampling CSPs and Other Problems
Generalised Parallel Tempering: Flexible Replica Exchange via Flows and Diffusions
Design for a Digital Twin in Clinical Patient Care
Do We Need iPhone Moment or Xiaomi Moment for Robots? Design of Affordable Home Robots for Health Monitoring
Robust Tube Model Predictive Control with Uncertainty Quantification for Discrete-Time Linear Systems
GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection
Uncertainty-Aware Tightly-Coupled GPS Fused LIO-SLAM
DCT-Net: Domain-Calibrated Translation for Portrait Stylization
Perfect Secrecy Systems Immune to Spoofing Attacks
MODP: Multi Objective Directional Prompting
Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
Predicting Task Performance with Context-aware Scaling Laws
Detection of fake news on CoViD-19 on Web Search Engines
LISA: LIghtweight single-server Secure Aggregation with a public source of randomness
Diffusion and synchronization dynamics reveal the multi-scale patterns of spatial segregation
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning
Synergy of Information in Multimodal IoT Systems - Discovering the impact of daily behaviour routines on physical activity level
Stereo Vision Based Single-Shot 6D Object Pose Estimation for Bin-Picking by a Robot Manipulator
Random Cell Association and Void Probability in Poisson-Distributed Cellular Networks
Generalizing input-driven languages: theoretical and practical benefits
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition
Scale-Invariant Structure Saliency Selection for Fast Image Fusion
AI Literacy for Community Colleges: Instructors' Perspectives on Scenario-Based and Interactive Approaches to Teaching AI
Beyond discounted returns: Robust Markov decision processes with average and Blackwell optimality
Evaluating Online Moderation Via LLM-Powered Counterfactual Simulations
SEKI: Self-Evolution and Knowledge Inspiration based Neural Architecture Search via Large Language Models
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation
(1-2u k )-constacyclic codes over 𝔽 p +u𝔽 p +u 2 𝔽 p +u 3 𝔽 p +\dots+u k 𝔽 p
Your Are "Proxy" And I Know It
Towards Lifelong Few-Shot Customization of Text-to-Image Diffusion
Semi-Dense 3D Semantic Mapping from Monocular SLAM
A semantics-driven methodology for high-quality image annotation
CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction
Multilevel Ensemble Kalman Filtering with local-level Kalman gains
Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization
Cache-Aware QoE-Traffic Optimization in Mobile Edge Assisted Adaptive Video Streaming
GVPT - A software for guided visual pitch tracking
Achievable Rate Regions for the Dirty Multiple Access Channel with Partial Side Information at the Transmitters
Divergences induced by dual subtractive and divisive normalizations of exponential families and their convex deformations
Probabilistic Constraint Logic Programming. Formal Foundations of Quantitative and Statistical Inference in Constraint-Based Natural Language Processing
Lectures on Reduce and Maple at UAM I - Mexico
Conformal Risk Minimization with Variance Reduction
Averting A Crisis In Simulation-Based Inference
Capacity Based Evacuation with Dynamic Exit Signs
Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition
Phase space methods and psychoacoustic models in lossy transform coding
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets
Benchmarking 3D multi-coil NC-PDNet MRI reconstruction
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE
Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI
Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks
Collaborative Variational Bandwidth Auto-encoder for Recommender Systems
Variable importance scores
A Nonnested Augmented Subspace Method for Kohn-Sham Equation
Reducing Validity in Epistemic ATL to Validity in Epistemic CTL
Performance of Step Network Using Simulation Tool
Quantum Algorithm for Estimating Gibbs Free Energy and Entropy via Energy Derivatives
Multihop Adjustment for the Number of Nodes in Contention-Based MAC Protocols for Wireless Ad hoc Networks
Game Semantics for Higher-Order Unitary Quantum Computation
Nonwatertight Mesh Reconstruction
Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce
Higher-order total variation approaches and generalisations
Accelerating Gravitational N -Body Simulations Using the RISC-V-Based Tenstorrent Wormhole
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty
Interactive spatial speech recognition maps based on simulated speech recognition experiments
MM-LMPC: Multi-Modal Learning Model Predictive Control via Bandit-Based Mode Selection
Design and Development of an Automated Contact Angle Tester (ACAT) for Surface Wettability Measurement
Ksurf-Drone: Attention Kalman Filter for Contextual Bandit Optimization in Cloud Resource Allocation
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
Superplatforms Have to Attack AI Agents
Uncovering Randomness and Success in Society
Latent Space Factorization in LoRA
Noncoherent SIMO Pre-Log via Resolution of Singularities
A Novel end-to-end Framework for Occluded Pixel Reconstruction with Spatio-temporal Features for Improved Person Re-identification
The Localized Union-of-Balls Bifiltration
Recent Advances in Maximum-Entropy Sampling
Construction of a Validated Virtual Embodiment Questionnaire
Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence
PlexiChain: A Secure Blockchain-based Flexibility Aggregator Framework
Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs
ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
A Novel Ophthalmic Benchmark for Evaluating Multimodal Large Language Models with Fundus Photographs and OCT Images
Selling Privacy in Blockchain Transactions
Wave-PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
Towards Ubiquitous Sensing and Localization With Reconfigurable Intelligent Surfaces
Viewpoint: Journals for Certification, Conferences for Rapid Dissemination
Reconfigurable Wearable Antenna for 5G Applications using Nematic Liquid Crystals
Towards Scalable Multi-Chip Wireless Networks with Near-Field Time Reversal
End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images
The cost of continuity: performance of iterative solvers on isogeometric finite elements
Conceptual Content in Deep Convolutional Neural Networks: An analysis into multi-faceted properties of neurons
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
A Course of Algebra (PART I)
EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions
On the emergence of an "intention field" for socially cohesive agents
Deep Joint Source Channel Coding for Secure End-to-End Image Transmission
High Accuracy Traffic Light Controller for Increasing the Given Green Time Utilization
Origin of the computational hardness for learning with binary synapses
Towards LLM-based Autograding for Short Textual Answers
Joint Color-Spatial-Directional clustering and Region Merging (JCSD-RM) for unsupervised RGB-D image segmentation
Generating Print-Ready Personalized AI Art Products from Minimal User Inputs
ACDC: Altering Control Dependence Chains for Automated Patch Generation
MscaleFNO: Multi-scale Fourier Neural Operator Learning for Oscillatory Function Spaces
An Extended Survey on Vehicle Security
The Bidirectional Process Reward Model
Towards Strategic Persuasion with Language Models
Lifted Frequency-Domain Identification of Closed-Loop Multirate Systems: Applied to Dual-Stage Actuator Hard Disk Drives
TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
Hiding Sensitive Information Using PDF Steganography
Short definitions in constraint languages
Characterising equilibrium logic and nested logic programs: Reductions and complexity
Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data