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TaPD: Temporal-adaptive Progressive Distillation for Observation-Adaptive Trajectory Forecasting in Autonomous Driving
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DC-Merge: Improving Model Merging with Directional Consistency
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Gradient Flow Polarizes Softmax Outputs towards Low-Entropy Solutions
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Hierarchical Collaborative Fusion for 3D Instance-aware Referring Expression Segmentation
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SPPCSO: Adaptive Penalized Estimation Method for High-Dimensional Correlated Data
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Synthetic Monitoring Environments for Reinforcement Learning
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Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks
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NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving
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GazeMoE: Perception of Gaze Target with Mixture-of-Experts
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Robust support vector model based on bounded asymmetric elastic net loss for binary classification
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Learning to Solve Orienteering Problem with Time Windows and Variable Profits
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Mind the Gap: Pitfalls of LLM Alignment with Asian Public Opinion
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ODD-SEC: Onboard Drone Detection with a Spinning Event Camera
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HiPP-Prune: Hierarchical Preference-Conditioned Structured Pruning for Vision-Language Models
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Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering
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Looking Through Glass Box
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Stem: Rethinking Causal Information Flow in Sparse Attention
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Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution
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Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport
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Can we Trust Unreliable Voxels? Exploring 3D Semantic Occupancy Prediction under Label Noise
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Attribute Distribution Modeling and Semantic-Visual Alignment for Generative Zero-shot Learning
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Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection
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Enhancing SHAP Explainability for Diagnostic and Prognostic ML Models in Alzheimer Disease
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Learning Where the Physics Is: Probabilistic Adaptive Sampling for Stiff PDEs
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FlowMotion: Training-Free Flow Guidance for Video Motion Transfer
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The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AI
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Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
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3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models
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DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models
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Polarized Direct Cross-Attention Message Passing in GNNs for Machinery Fault Diagnosis
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Continual Adaptation for Pacific Indigenous Speech Recognition
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Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces
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WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection
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Gradient-based Nested Co-Design of Aerodynamic Shape and Control for Winged Robots
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From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty
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P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning
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The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
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Diversity-Aware Adaptive Collocation for Physics-Informed Neural Networks via Sparse QUBO Optimization and Hybrid Coresets
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Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
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Metalearning traffic assignment for network disruptions with graph convolutional neural networks
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Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions
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WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
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SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement
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AI End-to-End Radiation Treatment Planning Under One Second
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K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging
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Transparent AI for Mathematics: Transformer-Based Large Language Models for Mathematical Entity Relationship Extraction with XAI
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MoEless: Efficient MoE LLM Serving via Serverless Computing
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Dynamic Chunking Diffusion Transformer
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Frequency-Separable Hamiltonian Neural Network for Multi-Timescale Dynamics
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LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents
