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06/28/2023
Discovering stochastic partial differential equations from limited data using variational Bayes inference
We propose a novel framework for discovering Stochastic Partial Differen...
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06/08/2023
A Bayesian Framework for learning governing Partial Differential Equation from Data
The discovery of partial differential equations (PDEs) is a challenging ...
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12/13/2022
MAntRA: A framework for model agnostic reliability analysis
We propose a novel model agnostic data-driven reliability analysis frame...
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12/03/2020
On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression
This paper presents the use of spike-and-slab (SS) priors for discoverin...
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03/29/2019