Copertina

Multi-scale Generative Modeling for Fast Sampling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xiao, Xiongye, Li, Shixuan, Huang, Luzhe, Liu, Gengshuo, Nguyen, Trung-Kien, Huang, Yi, Chang, Di, Kochenderfer, Mykel J., Bogdan, Paul
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multi-scale Conditional Generative Modeling for Microscopic Image Restoration
di: Huang, Luzhe, et al.
Pubblicazione: (2024)

Neuro-Inspired Hierarchical Multimodal Learning
di: Xiao, Xiongye, et al.
Pubblicazione: (2023)

Conditional Deep Generative Models for Belief State Planning
di: Bigeard, Antoine, et al.
Pubblicazione: (2025)

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
di: Xiao, Xiongye, et al.
Pubblicazione: (2024)

Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization
di: Chaubard, Francois, et al.
Pubblicazione: (2025)

ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
di: Li, Shixuan, et al.
Pubblicazione: (2025)

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals
di: Delecki, Harrison, et al.
Pubblicazione: (2024)

Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments
di: Arief, Mansur, et al.
Pubblicazione: (2024)

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL
di: Ping, Heng, et al.
Pubblicazione: (2025)

Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing
di: Brown, Kyle, et al.
Pubblicazione: (2023)

Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering
di: Chaubard, Francois, et al.
Pubblicazione: (2024)

Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers
di: Wang, Juanran, et al.
Pubblicazione: (2025)

On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models
di: Guru, Kyla, et al.
Pubblicazione: (2025)

Diffusion Models for Safety Validation of Autonomous Driving Systems
di: Wang, Juanran, et al.
Pubblicazione: (2025)

A Semi-Decentralized Approach to Multiagent Control
di: Al-Husseini, Mahdi, et al.
Pubblicazione: (2026)

Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent
di: Stocco, Paula, et al.
Pubblicazione: (2024)

Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms
di: Al-Husseini, Mahdi, et al.
Pubblicazione: (2024)

Optimal Ground Station Selection for Low-Earth Orbiting Satellites
di: Eddy, Duncan, et al.
Pubblicazione: (2024)

Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments
di: Lange, Bernard, et al.
Pubblicazione: (2023)

BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations
di: Moss, Robert J., et al.
Pubblicazione: (2023)

One Bias After Another: Mechanistic Reward Shaping and Persistent Biases in Language Reward Models
di: Fein, Daniel, et al.
Pubblicazione: (2026)

Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows
di: Kruse, Liam A., et al.
Pubblicazione: (2025)

Imperfect World Models are Exploitable
di: Bhamidipaty, Logan Mondal, et al.
Pubblicazione: (2026)

Reward Bias Substitution: Single-Axis Bias Mitigations Redirect Optimization Pressure
di: Lamparth, Max, et al.
Pubblicazione: (2026)

A New Strategy for Verifying Reach-Avoid Specifications in Neural Feedback Systems
di: Akinwande, Samuel I., et al.
Pubblicazione: (2026)

Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge
di: Yang, Wei, et al.
Pubblicazione: (2026)

Graph Q-Learning for Combinatorial Optimization
di: Dax, Victoria M., et al.
Pubblicazione: (2024)

Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems
di: Delecki, Harrison, et al.
Pubblicazione: (2024)

Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
di: Lützow, Laura, et al.
Pubblicazione: (2025)

ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints
di: Moss, Robert J., et al.
Pubblicazione: (2024)

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
di: Xiao, Xiongye, et al.
Pubblicazione: (2024)

Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers
di: Ward, Isaac Ronald, et al.
Pubblicazione: (2025)

The FABRIC Strategy for Verifying Neural Feedback Systems
di: Akinwande, Samuel I., et al.
Pubblicazione: (2026)

Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction
di: Wang, Yu, et al.
Pubblicazione: (2025)

General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting
di: Lange, Bernard, et al.
Pubblicazione: (2025)

Constrained Hierarchical Monte Carlo Belief-State Planning
di: Jamgochian, Arec, et al.
Pubblicazione: (2023)

Disentangled Neural Relational Inference for Interpretable Motion Prediction
di: Dax, Victoria M., et al.
Pubblicazione: (2024)

Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMs
di: Yang, Wei, et al.
Pubblicazione: (2025)

Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance
di: Kanakaris, Nikos, et al.
Pubblicazione: (2025)

Scalable Ground Station Selection for Large LEO Constellations
di: Kim, Grace Ra, et al.
Pubblicazione: (2025)