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TA-GGAD: Testing-time Adaptive Graph Model for Generalist Graph Anomaly Detection
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Interactive 3D visualization of surface roughness predictions in additive manufacturing: A data-driven framework
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Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
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Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
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M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition
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From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering
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Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
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Quantifying and extending the coverage of spatial categorization data sets
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MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
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SinGeo: Unlock Single Model's Potential for Robust Cross-View Geo-Localization
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SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
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EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation
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Training-Free Coverless Multi-Image Steganography with Access Control
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Physics-Informed Neural Engine Sound Modeling with Differentiable Pulse-Train Synthesis
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ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts
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LLM as a Meta-Judge: Synthetic Data for NLP Evaluation Metric Validation
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Stochastic Port-Hamiltonian Neural Networks: Universal Approximation with Passivity Guarantees
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YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictors for YOLO Architecture Search
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RiO-DETR: DETR for Real-time Oriented Object Detection
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Reconstructing Movement from Sparse Samples: Enhanced Spatio-Temporal Matching Strategies for Low-Frequency Data
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Large Spikes in Stochastic Gradient Descent: A Large-Deviations View
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PromptDLA: A Domain-aware Prompt Document Layout Analysis Framework with Descriptive Knowledge as a Cue
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From Flow to One Step: Real-Time Multi-Modal Trajectory Policies via Implicit Maximum Likelihood Estimation-based Distribution Distillation
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Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
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CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation
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MetaDAT: Generalizable Trajectory Prediction via Meta Pre-training and Data-Adaptive Test-Time Updating
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Open-World Motion Forecasting
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CERES: A Probabilistic Early Warning System for Acute Food Insecurity
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Amnesia: Adversarial Semantic Layer Specific Activation Steering in Large Language Models
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Impact of Markov Decision Process Design on Sim-to-Real Reinforcement Learning
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Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs
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AI Act Evaluation Benchmark: An Open, Transparent, and Reproducible Evaluation Dataset for NLP and RAG Systems
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From Weighting to Modeling: A Nonparametric Estimator for Off-Policy Evaluation
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GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis
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A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation
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CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?
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Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
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Declarative Scenario-based Testing with RoadLogic
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An Empirical Study and Theoretical Explanation on Task-Level Model-Merging Collapse
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EvoDriveVLA: Evolving Autonomous Driving Vision-Language-Action Model via Collaborative Perception-Planning Distillation
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TopoOR: A Unified Topological Scene Representation for the Operating Room
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The Patrologia Graeca Corpus: OCR, Annotation, and Open Release of Noisy Nineteenth-Century Polytonic Greek Editions
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OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial Tasks
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Telogenesis: Goal Is All U Need
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Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity
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GenePlan: Evolving Better Generalized PDDL Plans using Large Language Models
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Component-Aware Sketch-to-Image Generation Using Self-Attention Encoding and Coordinate-Preserving Fusion
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Vibe-Creation: The Epistemology of Human-AI Emergent Cognition
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Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
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Evolving Prompt Adaptation for Vision-Language Models
