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Multi-fidelity wavelet neural operator with application to uncertainty
  quantification

Multi-fidelity wavelet neural operator with application to uncertainty quantification

11 August 2022
A. Thakur
Tapas Tripura
S. Chakraborty
ArXivPDFHTML

Papers citing "Multi-fidelity wavelet neural operator with application to uncertainty quantification"

12 / 12 papers shown
Title
Generative flow induced neural architecture search: Towards discovering
  optimal architecture in wavelet neural operator
Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator
Hartej Soin
Tapas Tripura
Souvik Chakraborty
24
3
0
11 May 2024
Neural Operator induced Gaussian Process framework for probabilistic
  solution of parametric partial differential equations
Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations
Sawan Kumar
R. Nayek
Souvik Chakraborty
32
2
0
24 Apr 2024
Neuroscience inspired scientific machine learning (Part-2): Variable
  spiking wavelet neural operator
Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operator
Shailesh Garg
Souvik Chakraborty
30
0
0
15 Nov 2023
DPA-WNO: A gray box model for a class of stochastic mechanics problem
DPA-WNO: A gray box model for a class of stochastic mechanics problem
Tushar
Souvik Chakraborty
DiffM
16
3
0
24 Sep 2023
Enhanced multi-fidelity modelling for digital twin and uncertainty
  quantification
Enhanced multi-fidelity modelling for digital twin and uncertainty quantification
A. Desai
N. Navaneeth
Sondipon Adhikari
Souvik Chakraborty
AI4CE
11
5
0
26 Jun 2023
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading
  Hysteretic Systems
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems
Subhayan De
P. Brewick
24
0
0
25 Apr 2023
Physics informed WNO
Physics informed WNO
N. N.
Tapas Tripura
S. Chakraborty
15
28
0
12 Feb 2023
Randomized prior wavelet neural operator for uncertainty quantification
Randomized prior wavelet neural operator for uncertainty quantification
Shailesh Garg
S. Chakraborty
UQCV
BDL
12
1
0
02 Feb 2023
Improved generalization with deep neural operators for engineering
  systems: Path towards digital twin
Improved generalization with deep neural operators for engineering systems: Path towards digital twin
Kazuma Kobayashi
James Daniell
S. B. Alam
AI4CE
28
20
0
17 Jan 2023
Adaptive physics-informed neural operator for coarse-grained
  non-equilibrium flows
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows
Ivan Zanardi
Simone Venturi
M. Panesi
AI4CE
57
17
0
27 Oct 2022
Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on
  Unseen Domains
Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on Unseen Domains
Hengjie Wang
R. Planas
Aparna Chandramowlishwaran
Ramin Bostanabad
AI4CE
42
61
0
22 Apr 2021
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
2,281
0
18 Oct 2020
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