Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations

12 June 2022

Papers citing "Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations"

3 / 3 papers shown

Title
Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani Marvin Pfortner Tobias Weber Philipp Hennig UQCV 55 1 0 07 Jun 2024
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos P. Koutsourelakis AI4CE 24 3 0 29 May 2024
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation Akshay Thakur Souvik Chakraborty 34 1 0 24 Apr 2024