Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations

Documenti analoghi

• Dilated convolution neural operator for multiscale partial differential equations
  di: Xu, Bo, et al.
  Pubblicazione: (2024)
• Variationally correct operator learning: Reduced basis neural operator with a posteriori error estimation
  di: Qiu, Yuan, et al.
  Pubblicazione: (2025)
• A shallow physics-informed neural network for solving partial differential equations on surfaces
  di: Hu, Wei-Fan, et al.
  Pubblicazione: (2022)
• Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations
  di: Zhang, Huan, et al.
  Pubblicazione: (2024)
• Pseudo-Hamiltonian neural networks for learning partial differential equations
  di: Eidnes, Sølve, et al.
  Pubblicazione: (2023)