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Alpha-VI DeepONet: A prior-robust variational Bayesian approach for
  enhancing DeepONets with uncertainty quantification

Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification

1 August 2024
Soban Nasir Lone
Subhayan De
R. Nayek
    BDL
ArXivPDFHTML

Papers citing "Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification"

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
26
1
0
17 Sep 2024
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
217
2,287
0
18 Oct 2020
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
1