Physics-informed neural networks via stochastic Hamiltonian dynamics learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Bajaj, Chandrajit, Nguyen, Minh |
|---|---|
| Formato: | Preprint |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach
por: Bajaj, Chandrajit, et al.
Publicado: (2022)
por: Bajaj, Chandrajit, et al.
Publicado: (2022)
Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
por: Yuan, Xinzhe, et al.
Publicado: (2026)
por: Yuan, Xinzhe, et al.
Publicado: (2026)
Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling
por: Anand, Emile, et al.
Publicado: (2026)
por: Anand, Emile, et al.
Publicado: (2026)
Stability properties of Minimal Gated Unit neural networks
por: De Carli, Stefano, et al.
Publicado: (2026)
por: De Carli, Stefano, et al.
Publicado: (2026)
Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
por: Pasupuleti, Vinil, et al.
Publicado: (2026)
por: Pasupuleti, Vinil, et al.
Publicado: (2026)
CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models
por: Bömer, Thomas, et al.
Publicado: (2026)
por: Bömer, Thomas, et al.
Publicado: (2026)
Detecting Sleeper Agents in Large Language Models via Semantic Drift Analysis
por: Zanbaghi, Shahin, et al.
Publicado: (2025)
por: Zanbaghi, Shahin, et al.
Publicado: (2025)
PhysHand: A Hand Simulation Model with Physiological Geometry, Physical Deformation, and Accurate Contact Handling
por: Sun, Mingyang, et al.
Publicado: (2024)
por: Sun, Mingyang, et al.
Publicado: (2024)
Scalable APT Malware Classification via Parallel Feature Extraction and GPU-Accelerated Learning
por: Subedar, Noah, et al.
Publicado: (2025)
por: Subedar, Noah, et al.
Publicado: (2025)
Limits of Safe AI Deployment: Differentiating Oversight and Control
por: Manheim, David, et al.
Publicado: (2025)
por: Manheim, David, et al.
Publicado: (2025)
A Differential and Pointwise Control Approach to Reinforcement Learning
por: Nguyen, Minh, et al.
Publicado: (2024)
por: Nguyen, Minh, et al.
Publicado: (2024)
Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
por: Nayak, Nikhil, et al.
Publicado: (2026)
por: Nayak, Nikhil, et al.
Publicado: (2026)
SALLIE: Safeguarding Against Latent Language & Image Exploits
por: Azov, Guy, et al.
Publicado: (2026)
por: Azov, Guy, et al.
Publicado: (2026)
Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
por: Qi, Runnan, et al.
Publicado: (2025)
por: Qi, Runnan, et al.
Publicado: (2025)
Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
por: Caspari, Adrian, et al.
Publicado: (2025)
por: Caspari, Adrian, et al.
Publicado: (2025)
Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education
por: Hooshyar, Danial, et al.
Publicado: (2023)
por: Hooshyar, Danial, et al.
Publicado: (2023)
Deep Policy Iteration with Integer Programming for Inventory Management
por: Harsha, Pavithra, et al.
Publicado: (2021)
por: Harsha, Pavithra, et al.
Publicado: (2021)
A First Proof Sprint
por: Corneli, Joseph
Publicado: (2026)
por: Corneli, Joseph
Publicado: (2026)
Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models
por: Tan, Chee Wei, et al.
Publicado: (2026)
por: Tan, Chee Wei, et al.
Publicado: (2026)
IntelliCode: A Multi-Agent LLM Tutoring System with Centralized Learner Modeling
por: David, Jones, et al.
Publicado: (2025)
por: David, Jones, et al.
Publicado: (2025)
T-Norm Operators for EU AI Act Compliance Classification: An Empirical Comparison of Lukasiewicz, Product, and Gödel Semantics in a Neuro-Symbolic Reasoning System
por: Laabs, Adam
Publicado: (2026)
por: Laabs, Adam
Publicado: (2026)
NOVAK: Unified adaptive optimizer for deep neural networks
por: Kavun, Sergii
Publicado: (2026)
por: Kavun, Sergii
Publicado: (2026)
Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing
por: Shannon, Andrew, et al.
Publicado: (2024)
por: Shannon, Andrew, et al.
Publicado: (2024)
Alljoined1 -- A dataset for EEG-to-Image decoding
por: Xu, Jonathan, et al.
Publicado: (2024)
por: Xu, Jonathan, et al.
Publicado: (2024)
Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time
por: Wendland, Jennifer, et al.
Publicado: (2026)
por: Wendland, Jennifer, et al.
Publicado: (2026)
Bilinear Mamba-Koopman Neural MPC for Varying Dynamics
por: Pagi, Matan, et al.
Publicado: (2026)
por: Pagi, Matan, et al.
Publicado: (2026)
Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
por: Leonesi, Matteo, et al.
Publicado: (2026)
por: Leonesi, Matteo, et al.
Publicado: (2026)
Reliability of Single-Level Equality-Constrained Inverse Optimal Control
por: Bečanović, Filip, et al.
Publicado: (2025)
por: Bečanović, Filip, et al.
Publicado: (2025)
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes
por: Lange-Hegermann, Markus, et al.
Publicado: (2024)
por: Lange-Hegermann, Markus, et al.
Publicado: (2024)
Scalable Nested Optimization for Deep Learning
por: Lorraine, Jonathan
Publicado: (2024)
por: Lorraine, Jonathan
Publicado: (2024)
Membership Inference Attacks against Large Audio Language Models
por: Dong, Jia-Kai, et al.
Publicado: (2026)
por: Dong, Jia-Kai, et al.
Publicado: (2026)
The dynamics of belief: continuously monitoring and visualising complex systems
por: Beggs, Edwin J., et al.
Publicado: (2022)
por: Beggs, Edwin J., et al.
Publicado: (2022)
Efficient compression of neural networks and datasets
por: Barth, Lukas Silvester, et al.
Publicado: (2025)
por: Barth, Lukas Silvester, et al.
Publicado: (2025)
Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks
por: Barry-Straume, Jostein, et al.
Publicado: (2025)
por: Barry-Straume, Jostein, et al.
Publicado: (2025)
Futurity as Infrastructure: A Techno-Philosophical Interpretation of the AI Lifecycle
por: Cote, Mark, et al.
Publicado: (2025)
por: Cote, Mark, et al.
Publicado: (2025)
Column Generation Using Domain-Independent Dynamic Programming
por: Kuroiwa, Ryo, et al.
Publicado: (2025)
por: Kuroiwa, Ryo, et al.
Publicado: (2025)
Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems
por: Apostolakis, Theocharis, et al.
Publicado: (2023)
por: Apostolakis, Theocharis, et al.
Publicado: (2023)
Safety, Security, and Cognitive Risks in State-Space Models: A Systematic Threat Analysis with Spectral, Stateful, and Capacity Attacks
por: Parmar, Manoj
Publicado: (2026)
por: Parmar, Manoj
Publicado: (2026)
An Agentic Multi-Agent Architecture for Cybersecurity Risk Management
por: Gupta, Ravish, et al.
Publicado: (2026)
por: Gupta, Ravish, et al.
Publicado: (2026)
On hyperbolic PDEs, filtered feedback control laws, and fractal-like stability crossing curves
por: Michiels, Wim, et al.
Publicado: (2026)
por: Michiels, Wim, et al.
Publicado: (2026)
Ejemplares similares
-
Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach
por: Bajaj, Chandrajit, et al.
Publicado: (2022) -
Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
por: Yuan, Xinzhe, et al.
Publicado: (2026) -
Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling
por: Anand, Emile, et al.
Publicado: (2026) -
Stability properties of Minimal Gated Unit neural networks
por: De Carli, Stefano, et al.
Publicado: (2026) -
Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
por: Pasupuleti, Vinil, et al.
Publicado: (2026)