When is a System Discoverable from Data? Discovery Requires Chaos
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Noticias de IA
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Double-Helix Active Geometry: LiDAR-Anchored Multi-View Depth with Selective Abstention
The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era
Towards Understanding Deep Learning Model in Image Recognition via Coverage Test
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections
Score-Regularized Joint Sampling with Importance Weights for Flow Matching
KAN vs LSTM Performance in Time Series Forecasting
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
Developing an LLM-Based Feedback System Grounded in Evidence-Centered Design to Support P…
AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory …
Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models
EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measu…
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
Interpretable Nanoporous Materials Design with Symmetry-Aware Networks
Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Rea…
ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs
Panorama: Fast-Track Nearest Neighbors
Conditional Clifford-Steerable CNNs for PDE Modeling
UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end A…
PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Mer…
Resilient by Design -- Active Inference for Distributed Continuum Intelligence
Exploring the Rashomon Set for Concept-Based Models
InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem
R$^2$PO: Decoupling Rollout and Inference Policies for LLM Reasoning
Motion Attribution for Video Generation
No Reliable Evidence of Self-Reported Sentience in Small Large Language Models
SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization