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ORCIDShailesh Garg 0001
Person information
- affiliation: Indian Institute of Technology Delhi, Department of Applied Mechanics, Hauz Khas, India
Other persons with the same name
- Shailesh Garg — disambiguation page
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2020 – today
- 2024
[j2]Shailesh Garg, Souvik Chakraborty:
Neuroscience inspired neural operator for partial differential equations. J. Comput. Phys. 515: 113266 (2024)- 2023
- [j1]Shailesh Garg, Souvik Chakraborty
:
VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification. Eng. Appl. Artif. Intell. 118: 105685 (2023) - [i7]Shailesh Garg, Souvik Chakraborty:
Randomized prior wavelet neural operator for uncertainty quantification. CoRR abs/2302.01051 (2023) - [i6]Shailesh Garg, Souvik Chakraborty:
Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression. CoRR abs/2311.09267 (2023) - [i5]Shailesh Garg, Souvik Chakraborty:
Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operator. CoRR abs/2311.14710 (2023) - 2022
- [i4]Shailesh Garg, Harshit Gupta, Souvik Chakraborty:
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems. CoRR abs/2201.13145 (2022) - [i3]Shailesh Garg, Souvik Chakraborty:
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations. CoRR abs/2206.05655 (2022) - 2021
- [i2]Shailesh Garg, Ankush Gogoi, Souvik Chakraborty, Budhaditya Hazra:
Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system. CoRR abs/2103.15636 (2021) - [i1]Shailesh Garg, Souvik Chakraborty, Budhaditya Hazra:
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems. CoRR abs/2109.00538 (2021)
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