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Statistical Learning for Latent Embedding Alignment with Application to Brain Encoding and Decoding
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Confidence Freeze: Early Success Induces a Metastable Decoupling of Metacognition and Behaviour
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LPNSR: Prior-Enhanced Diffusion Image Super-Resolution via LR-Guided Noise Prediction
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SpatialFly: Geometry-Guided Representation Alignment for UAV Vision-and-Language Navigation in Urban Environments
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When Minor Edits Matter: LLM-Driven Prompt Attack for Medical VLM Robustness in Ultrasound
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A Two-stage Transformer Framework for Temporal Localization of Distracted Driver Behaviors
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COMPASS-Hedge: Learning Safely Without Knowing the World
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Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios
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SGAD-SLAM: Splatting Gaussians at Adjusted Depth for Better Radiance Fields in RGBD SLAM
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Semi-Supervised Learning with Balanced Deep Representation Distributions
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Single-Eye View: Monocular Real-time Perception Package for Autonomous Driving
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Gradient Descent with Projection Finds Over-Parameterized Neural Networks for Learning Low-Degree Polynomials with Nearly Minimax Optimal Rate
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2Xplat: Two Experts Are Better Than One Generalist
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LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
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NoOVD: Novel Category Discovery and Embedding for Open-Vocabulary Object Detection
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CTFS : Collaborative Teacher Framework for Forward-Looking Sonar Image Semantic Segmentation with Extremely Limited Labels
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SqueezeComposer: Temporal Speed-up is A Simple Trick for Long-form Music Composing
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CoVFT: Context-aware Visual Fine-tuning for Multimodal Large Language Models
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Assessing the Ability of Neural TTS Systems to Model Consonant-Induced F0 Perturbation
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Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts
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ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
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Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion Models
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DGRNet: Disagreement-Guided Refinement for Uncertainty-Aware Brain Tumor Segmentation
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Stochastic approximation in non-markovian environments revisited
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ReasonScaffold: A Scaffolded Reasoning-based Annotation Protocol for Human-AI Co-Annotation
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Representation-Level Adversarial Regularization for Clinically Aligned Multitask Thyroid Ultrasound Assessment
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Mixture of Chapters: Scaling Learnt Memory in Transformers
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Learning to Optimize Joint Source and RIS-assisted Channel Encoding for Multi-User Semantic Communication Systems
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Learning Progressive Adaptation for Multi-Modal Tracking
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CounterScene: Counterfactual Causal Reasoning in Generative World Models for Safety-Critical Closed-Loop Evaluation
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ResPrune: Text-Conditioned Subspace Reconstruction for Visual Token Pruning in Large Vision-Language Models
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DMMRL: Disentangled Multi-Modal Representation Learning via Variational Autoencoders for Molecular Property Prediction
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Frequency Switching Mechanism for Parameter-E!cient Multi-Task Learning
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CVT-Bench: Counterfactual Viewpoint Transformations Reveal Unstable Spatial Representations in Multimodal LLMs
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LiFR-Seg: Anytime High-Frame-Rate Segmentation via Event-Guided Propagation
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Session Risk Memory (SRM): Temporal Authorization for Deterministic Pre-Execution Safety Gates
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ReDiffuse: Rotation Equivariant Diffusion Model for Multi-focus Image Fusion
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Anatomical Prior-Driven Framework for Autonomous Robotic Cardiac Ultrasound Standard View Acquisition
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One Pool Is Not Enough: Multi-Cluster Memory for Practical Test-Time Adaptation
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MS-CustomNet: Controllable Multi-Subject Customization with Hierarchical Relational Semantics
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Incentivizing Generative Zero-Shot Learning via Outcome-Reward Reinforcement Learning with Visual Cues
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Ontology-driven personalized information retrieval for XML documents
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ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation
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Time-adaptive functional Gaussian Process regression
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NeSy-Edge: Neuro-Symbolic Trustworthy Self-Healing in the Computing Continuum
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WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement
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Emergent Formal Verification: How an Autonomous AI Ecosystem Independently Discovered SMT-Based Safety Across Six Domains
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TRACE: A Multi-Agent System for Autonomous Physical Reasoning for Seismology
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Learning from Label Proportions with Dual-proportion Constraints
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Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs
