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Shailesh Garg

Affiliations:
  • Indian Institute of Technology Delhi, Department of Applied Mechanics, Hauz Khas, India


According to our database1, Shailesh Garg authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Online presence:

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Bibliography

2024
Neuroscience inspired neural operator for partial differential equations.
[BibTeX]
[DOI]
Shailesh Garg
,
Souvik Chakraborty
J. Comput. Phys., 2024

2023
VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification.
[BibTeX]
[DOI]
Shailesh Garg
,
Souvik Chakraborty
Eng. Appl. Artif. Intell., 2023

Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operator.
[BibTeX]
[DOI]
Shailesh Garg
,
Souvik Chakraborty
CoRR, 2023

Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression.
[BibTeX]
[DOI]
Shailesh Garg
,
Souvik Chakraborty
CoRR, 2023

Randomized prior wavelet neural operator for uncertainty quantification.
[BibTeX]
[DOI]
Shailesh Garg
,
Souvik Chakraborty
CoRR, 2023

2022
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations.
[BibTeX]
[DOI]
Shailesh Garg
,
Souvik Chakraborty
CoRR, 2022

Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems.
[BibTeX]
[DOI]
Shailesh Garg
,
Harshit Gupta
,
Souvik Chakraborty
CoRR, 2022

2021
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems.
[BibTeX]
[DOI]
Shailesh Garg
,
Souvik Chakraborty
,
Budhaditya Hazra
CoRR, 2021

Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system.
[BibTeX]
[DOI]
Shailesh Garg
,
Ankush Gogoi
,
Souvik Chakraborty
,
Budhaditya Hazra
CoRR, 2021


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