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A Neuro-Symbolic System for Interpretable Multimodal Physiological Signals Integration in Human Fatigue Detection
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Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-based CMR Biomarker Estimates Using Scan-rescan Data
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Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Columns under Transient Operating Conditions
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CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
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Adaptive decision-making for stochastic service network design
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Improving Lean4 Autoformalization via Cycle Consistency Fine-tuning
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PP-OCRv5: A Specialized 5M-Parameter Model Rivaling Billion-Parameter Vision-Language Models on OCR Tasks
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Towards Reward Modeling for AI Tutors in Math Mistake Remediation
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GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization
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MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization
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ViHOI: Human-Object Interaction Synthesis with Visual Priors
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On the Use of Bagging for Local Intrinsic Dimensionality Estimation
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Causal Transfer in Medical Image Analysis
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When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools
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Federated fairness-aware classification under differential privacy
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Exploring How Fair Model Representations Relate to Fair Recommendations
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Neural Network Models for Contextual Regression
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AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model
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Elucidating the Design Space of Flow Matching for Cellular Microscopy
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Teacher-Student Diffusion Model for Text-Driven 3D Hand Motion Generation
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Real Talk, Virtual Faces: A Formal Concept Analysis of Personality and Sentiment in Influencer Audiences
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PINGALA: Prosody-Aware Decoding for Sanskrit Poetry Generation
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ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers
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OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework
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Continuous-Time Learning of Probability Distributions: A Case Study in a Digital Trial of Young Children with Type 1 Diabetes
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Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching
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Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models
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What and When to Learn: CURriculum Ranking Loss for Large-Scale Speaker Verification
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The Gait Signature of Frailty: Transfer Learning based Deep Gait Models for Scalable Frailty Assessment
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Enes Causal Discovery
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CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents
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Integrating Causal Machine Learning into Clinical Decision Support Systems: Insights from Literature and Practice
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Unleashing Vision-Language Semantics for Deepfake Video Detection
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OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning
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Mechanic: Sorrifier-Driven Formal Decomposition Workflow for Automated Theorem Proving
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Counting Without Numbers \& Finding Without Words
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Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
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Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability
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Composer 2 Technical Report
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Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories
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Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQA
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Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models
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Uniform Laws of Large Numbers in Product Spaces
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Project and Generate: Divergence-Free Neural Operators for Incompressible Flows
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CRISP: Characterizing Relative Impact of Scholarly Publications
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Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
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Toward Physically Consistent Driving Video World Models under Challenging Trajectories
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A Firefly Algorithm for Mixed-Variable Optimization Based on Hybrid Distance Modeling
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AVO: Agentic Variation Operators for Autonomous Evolutionary Search
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TuneShift-KD: Knowledge Distillation and Transfer for Fine-tuned Models
