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MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation

MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation

24 April 2024
Akshay Thakur
Souvik Chakraborty
ArXivPDFHTML

Papers citing "MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation"

3 / 3 papers shown
Title
Towards Gaussian Process for operator learning: an uncertainty aware
  resolution independent operator learning algorithm for computational
  mechanics
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics
Sawan Kumar
R. Nayek
Souvik Chakraborty
21
1
0
17 Sep 2024
Deep Physics Corrector: A physics enhanced deep learning architecture
  for solving stochastic differential equations
Deep Physics Corrector: A physics enhanced deep learning architecture for solving stochastic differential equations
Tushar
S. Chakraborty
35
6
0
20 Sep 2022
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,272
0
18 Oct 2020
1