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Tackling the Sign Problem in the Doped Hubbard Model with Normalizing Flows
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Semantic Segmentation and Depth Estimation for Real-Time Lunar Surface Mapping Using 3D Gaussian Splatting
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A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelastic Materials
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PAI: Fast, Accurate, and Full Benchmark Performance Projection with AI
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Toward Reliable, Safe, and Secure LLMs for Scientific Applications
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FalconBC: Flow matching for Amortized inference of Latent-CONditioned physiologic Boundary Conditions
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Gradient-Informed Temporal Sampling Improves Rollout Accuracy in PDE Surrogate Training
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Impact of automatic speech recognition quality on Alzheimer's disease detection from spontaneous speech: a reproducible benchmark study with lexical modeling and statistical validation
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AGRI-Fidelity: Evaluating the Reliability of Listenable Explanations for Poultry Disease Detection
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Computation-Utility-Privacy Tradeoffs in Bayesian Estimation
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MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models
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Discovering What You Can Control: Interventional Boundary Discovery for Reinforcement Learning
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Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization
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LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression
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Enactor: From Traffic Simulators to Surrogate World Models
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Retrieval-Augmented LLM Agents: Learning to Learn from Experience
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EDM-ARS: A Domain-Specific Multi-Agent System for Automated Educational Data Mining Research
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Detection Is Cheap, Routing Is Learned: Why Refusal-Based Alignment Evaluation Fails
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On Additive Gaussian Processes for Wind Farm Power Prediction
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CycleCap: Improving VLMs Captioning Performance via Self-Supervised Cycle Consistency Fine-Tuning
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Offload or Overload: A Platform Measurement Study of Mobile Robotic Manipulation Workloads
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CORE: Robust Out-of-Distribution Detection via Confidence and Orthogonal Residual ScoringSeoul National University
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The Validity Gap in Health AI Evaluation: A Cross-Sectional Analysis of Benchmark Composition
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Constrained Hybrid Metaheuristic: A Universal Framework for Continuous Optimisation
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Path-Constrained Mixture-of-Experts
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Sparse3DTrack: Monocular 3D Object Tracking Using Sparse Supervision
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ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis
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Auditing Preferences for Brands and Cultures in LLMs
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Fast and Generalizable NeRF Architecture Selection for Satellite Scene Reconstruction
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Unrolled Reconstruction with Integrated Super-Resolution for Accelerated 3D LGE MRI
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Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning
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DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
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Learning to Reason with Curriculum I: Provable Benefits of Autocurriculum
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Escaping Offline Pessimism: Vector-Field Reward Shaping for Safe Frontier Exploration
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Consumer-to-Clinical Language Shifts in Ambient AI Draft Notes and Clinician-Finalized Documentation: A Multi-level Analysis
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A Family of Adaptive Activation Functions for Mitigating Failure Modes in Physics-Informed Neural Networks
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FaithSteer-BENCH: A Deployment-Aligned Stress-Testing Benchmark for Inference-Time Steering
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MemArchitect: A Policy Driven Memory Governance Layer
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Understanding the Theoretical Foundations of Deep Neural Networks through Differential Equations
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Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought
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Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model
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VISTA: Validation-Guided Integration of Spatial and Temporal Foundation Models with Anatomical Decoding for Rare-Pathology VCE Event Detection
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HRI-SA: A Multimodal Dataset for Online Assessment of Human Situational Awareness during Remote Human-Robot Teaming
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Epistemic Generative Adversarial Networks
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Large-Scale Analysis of Political Propaganda on Moltbook
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Interpretability without actionability: mechanistic methods cannot correct language model errors despite near-perfect internal representations
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LGESynthNet: Controlled Scar Synthesis for Improved Scar Segmentation in Cardiac LGE-MRI Imaging
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From Noise to Signal: When Outliers Seed New Topics
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Synthetic Data Generation for Training Diversified Commonsense Reasoning Models
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Fundamental Limits of Neural Network Sparsification: Evidence from Catastrophic Interpretability Collapse
