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12/23/2022
Hyper-differential sensitivity analysis in the context of Bayesian inference applied to ice-sheet problems
Inverse problems constrained by partial differential equations (PDEs) pl...
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04/19/2021
Randomized Algorithms for Scientific Computing (RASC)
Randomized algorithms have propelled advances in artificial intelligence...
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06/16/2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
Gaussian process regression is a popular Bayesian framework for surrogat...
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06/02/2020
Data-driven learning of non-autonomous systems
We present a numerical framework for recovering unknown non-autonomous d...
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10/15/2019