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Noticias de IA

22318 elementos — filtrados, clasificados y sin duplicados

arXiv cs.AI Research & Papers
RLVP: Penalize the Path, Reward the Outcome
arXiv cs.AI Research & Papers
Heterogeneity-Adaptive Diffusion Schrodinger Bridge for PET-Guided Whole-Body MRI Transla…
arXiv cs.AI Research & Papers
When Prompts Ignore Structure: Graph-Based Attribute Reasoning for Calibrated VLMs
arXiv cs.AI Research & Papers
On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate S…
arXiv cs.AI Research & Papers
Multi-Agent AI Control: Distributed Attacks Hamper Per-Instance Monitors
arXiv cs.AI Research & Papers
HumAIN: Human-Aware Implicit Social Robot Navigation
arXiv cs.AI Research & Papers
Quantum simulation of real-world nonlinear dynamics via Koopman method
arXiv cs.AI Research & Papers
Hypergraph Neural Stochastic Diffusion: An SDE Framework for Uncertainty Estimation
arXiv cs.AI Research & Papers
HAJJv2-CrowdCount: Zero-Shot Benchmark for Dense Crowd Counting
arXiv cs.AI Research & Papers
CarbonCLIP: Enhance Carbon Prediction from Satellite Imagery via Integrated Street-View S…
arXiv cs.AI Research & Papers
Bayesian Optimization of Genetic Algorithm Hyperparameters in a Multi-Fidelity Framework …
arXiv cs.AI Research & Papers
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies
arXiv cs.AI Research & Papers
DiPhon: Diffusion on Graphons for Scalable Graph Generation
arXiv cs.AI Research & Papers
Vision Foundation Models in Radiology: A Scoping Review of Data, Methodology, Evaluation …
arXiv cs.AI Research & Papers
Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators
arXiv cs.AI Research & Papers
Entropy Pacing Policy Optimization for Multi-Task Agentic Reinforcement Learning
arXiv cs.AI Research & Papers
Tree-of-Thoughts Reasoning for Text-to-Image In-Context Learning
arXiv cs.AI Research & Papers
GeoProp: Grounding Robot State in Vision for Generalist Manipulation
arXiv cs.AI Research & Papers
Navigating Hierarchy: Hyperbolic Learning on Brain Graphs for Disorder Diagnosis
arXiv cs.AI Research & Papers
Complexity-Budgeted, Interaction-Aware Interpretable Model for Tabular Data
arXiv cs.AI Research & Papers
Riemannian Geometry for Pre-trained Language Model Embeddings
arXiv cs.AI Research & Papers
Intrinsic Green's Learning: Supervised Learning on Manifolds via Inverse PDE
arXiv cs.AI Research & Papers
Multimodal Spatiotemporal-Frequency Fusion with Peak Enhancement for Cellular Traffic For…
arXiv cs.AI Research & Papers
Physics-guided spatiotemporal neural models for fuel density prediction
arXiv cs.AI Research & Papers
Hybrid Least Squares/Gradient Descent Methods for MIONets
arXiv cs.AI Research & Papers
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud…
arXiv cs.AI Research & Papers
Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recove…
arXiv cs.AI Research & Papers
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Anno…
arXiv cs.AI Research & Papers
LoCA: Spatially-Aware Low-Rank Convolutional Adaptation of Vision Foundation Models
arXiv cs.AI Research & Papers
ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for la…