Shailesh Garg

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoNBONet: Conformalized Neuroscience-inspired Bayesian Operator Network for Reliability Analysis. CoRR Shailesh Garg, Souvik Chakraborty
2026	J	`jnl`	SPINONet: Scalable Spiking Physics-informed Neural Operator for Computational Mechanics Applications. CoRR Shailesh Garg, Luis Mandl, Somdatta Goswami, Souvik Chakraborty
2025	J	`jnl`	Distribution free uncertainty quantification for neuroscience-inspired deep neural operators. J. Comput. Phys. Shailesh Garg, Souvik Chakraborty
2025	J	`jnl`	Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators. CoRR Kazuma Kobayashi, Shailesh Garg, Farid Ahmed, Souvik Chakraborty, Syed Bahauddin Alam
2025	J	`jnl`	Event-driven physics-informed operator learning for reliability analysis. CoRR Shailesh Garg, Souvik Chakraborty
2024	J	`jnl`	Distribution free uncertainty quantification in neuroscience-inspired deep operators. CoRR Shailesh Garg, Souvik Chakraborty
2024	J	`jnl`	Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning. CoRR Isha Jain, Shailesh Garg, Shaurya Shriyam, Souvik Chakraborty
2024	J	`jnl`	Neuroscience inspired neural operator for partial differential equations. J. Comput. Phys. Shailesh Garg, Souvik Chakraborty
2023	J	`jnl`	Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression. CoRR Shailesh Garg, Souvik Chakraborty
2023	J	`jnl`	Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operator. CoRR Shailesh Garg, Souvik Chakraborty
2023	J	`jnl`	Randomized prior wavelet neural operator for uncertainty quantification. CoRR Shailesh Garg, Souvik Chakraborty
2023	J	`jnl`	VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification. Eng. Appl. Artif. Intell. Shailesh Garg, Souvik Chakraborty
2022	J	`jnl`	Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems. CoRR Shailesh Garg, Harshit Gupta, Souvik Chakraborty
2022	J	`jnl`	Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations. CoRR Shailesh Garg, Souvik Chakraborty
2021	J	`jnl`	Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system. CoRR Shailesh Garg, Ankush Gogoi, Souvik Chakraborty, Budhaditya Hazra
2021	J	`jnl`	Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems. CoRR Shailesh Garg, Souvik Chakraborty, Budhaditya Hazra