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Govinda Anantha Padmanabha

Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks

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Dec 21, 2024
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Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models

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Jun 30, 2024
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A review on data-driven constitutive laws for solids

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May 06, 2024
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A Bayesian Multiscale Deep Learning Framework for Flows in Random Media

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Mar 08, 2021
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Solving inverse problems using conditional invertible neural networks

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Jul 31, 2020
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