Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods

Documenti analoghi

• Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
  di: Dong, Xinghao, et al.
  Pubblicazione: (2024)
• CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation
  di: Chen, Chuanqi, et al.
  Pubblicazione: (2024)
• Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network
  di: Chen, Chuanqi, et al.
  Pubblicazione: (2025)
• Active Learning of Model Discrepancy with Bayesian Experimental Design
  di: Yang, Huchen, et al.
  Pubblicazione: (2025)
• CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
  di: Chen, Chuanqi, et al.
  Pubblicazione: (2024)