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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
- 2026
[i14]Shailesh Garg, Luis Mandl, Somdatta Goswami, Souvik Chakraborty:
SPINONet: Scalable Spiking Physics-informed Neural Operator for Computational Mechanics Applications. CoRR abs/2603.21674 (2026)- [i13]Shailesh Garg, Souvik Chakraborty:
CoNBONet: Conformalized Neuroscience-inspired Bayesian Operator Network for Reliability Analysis. CoRR abs/2603.21678 (2026) - [i12]Jason Yoo
, Shailesh Garg, Souvik Chakraborty, Syed Bahauddin Alam:
When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano. CoRR abs/2604.17040 (2026) - 2025
- [j3]Shailesh Garg, Souvik Chakraborty:
Distribution free uncertainty quantification for neuroscience-inspired deep neural operators. J. Comput. Phys. 534: 114012 (2025) - [i11]Kazuma Kobayashi, Shailesh Garg, Farid Ahmed, Souvik Chakraborty, Syed Bahauddin Alam:
Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators. CoRR abs/2507.11574 (2025) - [i10]Shailesh Garg, Souvik Chakraborty:
Event-driven physics-informed operator learning for reliability analysis. CoRR abs/2511.06083 (2025) - 2024
- [j2]Shailesh Garg, Souvik Chakraborty:
Neuroscience inspired neural operator for partial differential equations. J. Comput. Phys. 515: 113266 (2024) - [i9]Shailesh Garg, Souvik Chakraborty:
Distribution free uncertainty quantification in neuroscience-inspired deep operators. CoRR abs/2412.09369 (2024) - [i8]Isha Jain, Shailesh Garg, Shaurya Shriyam, Souvik Chakraborty:
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning. CoRR abs/2412.09379 (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)
Coauthor Index
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