Neural Hamiltonian Operator
Fuente:
arXiv
Guardado en:
| Autor principal: | Qi, Qian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE
por: Lamarque, Maxence, et al.
Publicado: (2024)
por: Lamarque, Maxence, et al.
Publicado: (2024)
Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation
por: Lamarque, Maxence, et al.
Publicado: (2024)
por: Lamarque, Maxence, et al.
Publicado: (2024)
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates
por: Baranwal, Mayank, et al.
Publicado: (2024)
por: Baranwal, Mayank, et al.
Publicado: (2024)
The Asymptotic Behavior of Attention in Transformers
por: Abella, Álvaro Rodríguez, et al.
Publicado: (2024)
por: Abella, Álvaro Rodríguez, et al.
Publicado: (2024)
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
por: Faradonbeh, Mohamad Kazem Shirani, et al.
Publicado: (2022)
por: Faradonbeh, Mohamad Kazem Shirani, et al.
Publicado: (2022)
Koopman-Assisted Reinforcement Learning
por: Rozwood, Preston, et al.
Publicado: (2024)
por: Rozwood, Preston, et al.
Publicado: (2024)
Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
por: Bhan, Luke, et al.
Publicado: (2024)
por: Bhan, Luke, et al.
Publicado: (2024)
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
por: Feng, Mingquan, et al.
Publicado: (2024)
por: Feng, Mingquan, et al.
Publicado: (2024)
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
por: Kamboj, Ankur, et al.
Publicado: (2026)
por: Kamboj, Ankur, et al.
Publicado: (2026)
Learning Dissipative Neural Dynamical Systems
por: Xu, Yuezhu, et al.
Publicado: (2023)
por: Xu, Yuezhu, et al.
Publicado: (2023)
Optimal Power Grid Operations with Foundation Models
por: Puech, Alban, et al.
Publicado: (2024)
por: Puech, Alban, et al.
Publicado: (2024)
Learning Spatio-Temporal Dynamics via Operator-Valued RKHS and Kernel Koopman Methods
por: Withanachchi, Mahishanka
Publicado: (2025)
por: Withanachchi, Mahishanka
Publicado: (2025)
Physics-informed Neural-operator Predictive Control for Drag Reduction in Turbulent Flows
por: Zhao, Zelin, et al.
Publicado: (2025)
por: Zhao, Zelin, et al.
Publicado: (2025)
Safe and Robust Domains of Attraction for Discrete-Time Systems: A Set-Based Characterization and Certifiable Neural Network Estimation
por: Serry, Mohamed, et al.
Publicado: (2026)
por: Serry, Mohamed, et al.
Publicado: (2026)
Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics
por: Betteti, Simone, et al.
Publicado: (2026)
por: Betteti, Simone, et al.
Publicado: (2026)
Nonlinear Dynamics In Optimization Landscape of Shallow Neural Networks with Tunable Leaky ReLU
por: Liu, Jingzhou
Publicado: (2025)
por: Liu, Jingzhou
Publicado: (2025)
On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
por: de Oliveira, Arthur Castello Branco, et al.
Publicado: (2025)
por: de Oliveira, Arthur Castello Branco, et al.
Publicado: (2025)
Neural Brownian Motion
por: Qi, Qian
Publicado: (2025)
por: Qi, Qian
Publicado: (2025)
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
por: Cayci, Semih
Publicado: (2024)
por: Cayci, Semih
Publicado: (2024)
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
por: Li, Haoyu, et al.
Publicado: (2026)
por: Li, Haoyu, et al.
Publicado: (2026)
Distributionally Robust Safety Verification of Neural Networks via Worst-Case CVaR
por: Kishida, Masako
Publicado: (2025)
por: Kishida, Masako
Publicado: (2025)
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
por: Islam, MD Shafikul, et al.
Publicado: (2023)
por: Islam, MD Shafikul, et al.
Publicado: (2023)
Dynamical Measure Transport and Neural PDE Solvers for Sampling
por: Sun, Jingtong, et al.
Publicado: (2024)
por: Sun, Jingtong, et al.
Publicado: (2024)
Control of Medical Digital Twins with Artificial Neural Networks
por: Böttcher, Lucas, et al.
Publicado: (2024)
por: Böttcher, Lucas, et al.
Publicado: (2024)
Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
por: Nath, Devesh, et al.
Publicado: (2026)
por: Nath, Devesh, et al.
Publicado: (2026)
Observability conditions for neural state-space models with eigenvalues and their roots of unity
por: Gracyk, Andrew
Publicado: (2025)
por: Gracyk, Andrew
Publicado: (2025)
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
por: Zolman, Nicholas, et al.
Publicado: (2024)
por: Zolman, Nicholas, et al.
Publicado: (2024)
Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study
por: Schulze, Jan C., et al.
Publicado: (2024)
por: Schulze, Jan C., et al.
Publicado: (2024)
Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem
por: Mohammadi, Hesameddin, et al.
Publicado: (2024)
por: Mohammadi, Hesameddin, et al.
Publicado: (2024)
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
por: Shin, Sungho, et al.
Publicado: (2022)
por: Shin, Sungho, et al.
Publicado: (2022)
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
por: Mohammadi, Hesameddin, et al.
Publicado: (2022)
por: Mohammadi, Hesameddin, et al.
Publicado: (2022)
Safely Learning Dynamical Systems
por: Ahmadi, Amir Ali, et al.
Publicado: (2023)
por: Ahmadi, Amir Ali, et al.
Publicado: (2023)
From exponential to finite/fixed-time stability: Applications to optimization
por: Ozaslan, Ibrahim K., et al.
Publicado: (2024)
por: Ozaslan, Ibrahim K., et al.
Publicado: (2024)
Identifiability of Differential-Algebraic Systems
por: Montanari, Arthur N., et al.
Publicado: (2024)
por: Montanari, Arthur N., et al.
Publicado: (2024)
Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
por: Shen, Keyi, et al.
Publicado: (2026)
por: Shen, Keyi, et al.
Publicado: (2026)
Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects
por: Tsukamoto, Hiroyasu, et al.
Publicado: (2022)
por: Tsukamoto, Hiroyasu, et al.
Publicado: (2022)
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
por: Yang, Lujie, et al.
Publicado: (2024)
por: Yang, Lujie, et al.
Publicado: (2024)
Trustworthy Koopman Operator Learning: Invariance Diagnostics and Error Bounds
por: Conradie, Gustav, et al.
Publicado: (2026)
por: Conradie, Gustav, et al.
Publicado: (2026)
Model Predictive Control of Hybrid Dynamical Systems
por: Sanfelice, Ricardo G., et al.
Publicado: (2026)
por: Sanfelice, Ricardo G., et al.
Publicado: (2026)
Convergence of optimizers implies eigenvalues filtering at equilibrium
por: Bolte, Jerome, et al.
Publicado: (2025)
por: Bolte, Jerome, et al.
Publicado: (2025)
Ejemplares similares
-
Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE
por: Lamarque, Maxence, et al.
Publicado: (2024) -
Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation
por: Lamarque, Maxence, et al.
Publicado: (2024) -
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates
por: Baranwal, Mayank, et al.
Publicado: (2024) -
The Asymptotic Behavior of Attention in Transformers
por: Abella, Álvaro Rodríguez, et al.
Publicado: (2024) -
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
por: Faradonbeh, Mohamad Kazem Shirani, et al.
Publicado: (2022)