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Rajdip Nayek

Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics

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Sep 17, 2024
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Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification

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Aug 01, 2024
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Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations

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Apr 24, 2024
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Discovering stochastic partial differential equations from limited data using variational Bayes inference

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Jun 28, 2023
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A Bayesian Framework for learning governing Partial Differential Equation from Data

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Jun 08, 2023
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MAntRA: A framework for model agnostic reliability analysis

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Dec 13, 2022
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A Gaussian process latent force model for joint input-state estimation in linear structural systems

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Apr 02, 2019
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