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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
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Adaptive Anchor Policies for Efficient 4D Gaussian Streaming
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From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs
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Visual SLAM with DEM Anchoring for Lunar Surface Navigation
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KANtize: Exploring Low-bit Quantization of Kolmogorov-Arnold Networks for Efficient Inference
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Neuron-Level Emotion Control in Speech-Generative Large Audio-Language Models
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Draft-and-Prune: Improving the Reliability of Auto-formalization for Logical Reasoning
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Deployment and Evaluation of an EHR-integrated, Large Language Model-Powered Tool to Triage Surgical Patients
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Neural Radiance Maps for Extraterrestrial Navigation and Path Planning
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GigaWorld-Policy: An Efficient Action-Centered World--Action Model
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Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures
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On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings
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Binary Latent Protein Fitness Landscapes for Quantum Annealing Optimization
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Pathology-Aware Multi-View Contrastive Learning for Patient-Independent ECG Reconstruction
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Variational Rectification Inference for Learning with Noisy Labels
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LED: A Benchmark for Evaluating Layout Error Detection in Document Analysis
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ConfusionBench: An Expert-Validated Benchmark for Confusion Recognition and Localization in Educational Videos
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Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
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DANCE: Dynamic 3D CNN Pruning: Joint Frame, Channel, and Feature Adaptation for Energy Efficiency on the Edge
