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AnoleVLA: Lightweight Vision-Language-Action Model with Deep State Space Models for Mobile Manipulation
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CrossADR: enhancing adverse drug reactions prediction for combination pharmacotherapy with cross-layer feature integration and cross-level associative learning
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SRL-MAD: Structured Residual Latents for One-Class Morphing Attack Detection
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Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
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Interference-Aware K-Step Reachable Communication in Multi-Agent Reinforcement Learning
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Spatio-temporal probabilistic forecast using MMAF-guided learning
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Analyzing Error Sources in Global Feature Effect Estimation
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Muon Converges under Heavy-Tailed Noise: Nonconvex Hölder-Smooth Empirical Risk Minimization
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Writer-R1: Enhancing Generative Writing in LLMs via Memory-augmented Replay Policy Optimization
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The Good, the Better, and the Best: Improving the Discriminability of Face Embeddings through Attribute-aware Learning
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Generative Semantic HARQ: Latent-Space Text Retransmission and Combining
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Interpretable Classification of Time Series Using Euler Characteristic Surfaces
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Open Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database
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ReactMotion: Generating Reactive Listener Motions from Speaker Utterance
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Affordable Precision Agriculture: A Deployment-Oriented Review of Low-Cost, Low-Power Edge AI and TinyML for Resource-Constrained Farming Systems
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Trustworthy Koopman Operator Learning: Invariance Diagnostics and Error Bounds
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Bridging National and International Legal Data: Two Projects Based on the Japanese Legal Standard XML Schema for Comparative Law Studies
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Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
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PrototypeNAS: Rapid Design of Deep Neural Networks for Microcontroller Units
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PAKAN: Pixel Adaptive Kolmogorov-Arnold Network Modules for Pansharpening
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Sampling-guided exploration of active feature selection policies
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MMKU-Bench: A Multimodal Update Benchmark for Diverse Visual Knowledge
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VAREX: A Benchmark for Multi-Modal Structured Extraction from Documents
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A Tutorial on ALOS2 SAR Utilization: Dataset Preparation, Self-Supervised Pretraining, and Semantic Segmentation
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Establishing Construct Validity in LLM Capability Benchmarks Requires Nomological Networks
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A Novel Camera-to-Robot Calibration Method for Vision-Based Floor Measurements
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Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors
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Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike
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Low-light Image Enhancement with Retinex Decomposition in Latent Space
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WiT: Waypoint Diffusion Transformers via Trajectory Conflict Navigation
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Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
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Context-Aware Sensor Modeling for Asynchronous Multi-Sensor Tracking in Stone Soup
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Clinical Priors Guided Lung Disease Detection in 3D CT Scans
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Accelerating Byzantine-Robust Distributed Learning with Compressed Communication via Double Momentum and Variance Reduction
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SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation
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TextOVSR: Text-Guided Real-World Opera Video Super-Resolution
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Vision-Language Model Based Multi-Expert Fusion for CT Image Classification
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Storage and selection of multiple chaotic attractors in minimal reservoir computers
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Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies
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To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation
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HindSight: Evaluating LLM-Generated Research Ideas via Future Impact
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DAIT: Distillation from Vision-Language Models to Lightweight Classifiers with Adaptive Intermediate Teacher Transfer
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Question-guided Visual Compression with Memory Feedback for Long-Term Video Understanding
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Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning
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Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
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Sequential Transport for Causal Mediation Analysis
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Token Coherence: Adapting MESI Cache Protocols to Minimize Synchronization Overhead in Multi-Agent LLM Systems
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CATFormer: When Continual Learning Meets Spiking Transformers With Dynamic Thresholds
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What Matters for Scalable and Robust Learning in End-to-End Driving Planners?
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The Hrunting of AI: Where and How to Improve English Dialectal Fairness
