Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system. - Shailesh Garg 001; Ankush Gogoi; Souvik Chakraborty; Budhaditya Hazra (CoRR, 2021)

Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems. - Shailesh Garg 001; Souvik Chakraborty; Budhaditya Hazra (CoRR, 2021)

Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems. - Shailesh Garg 001; Harshit Gupta; Souvik Chakraborty (CoRR, 2022)

Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations. - Shailesh Garg 001; Souvik Chakraborty (CoRR, 2022)

Randomized prior wavelet neural operator for uncertainty quantification. - Shailesh Garg 001; Souvik Chakraborty (CoRR, 2023)

Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression. - Shailesh Garg 001; Souvik Chakraborty (CoRR, 2023)

Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operator. - Shailesh Garg 001; Souvik Chakraborty (CoRR, 2023)

VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification. - Shailesh Garg 001; Souvik Chakraborty (Eng. Appl. Artif. Intell., 2023)

Distribution free uncertainty quantification in neuroscience-inspired deep operators. - Shailesh Garg 001; Souvik Chakraborty (CoRR, 2024)

Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning. - Isha Jain; Shailesh Garg 001; Shaurya Shriyam; Souvik Chakraborty (CoRR, 2024)

Neuroscience inspired neural operator for partial differential equations. - Shailesh Garg 001; Souvik Chakraborty (J. Comput. Phys., 2024)

Distribution free uncertainty quantification for neuroscience-inspired deep neural operators. - Shailesh Garg 001; Souvik Chakraborty (J. Comput. Phys., 2025)

Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators. - Kazuma Kobayashi; Shailesh Garg 001; Farid Ahmed; Souvik Chakraborty; Syed Bahauddin Alam (CoRR, 2025)