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10/14/2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
Nonlinear dynamics are ubiquitous in science and engineering application...
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07/11/2022
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Deep learning surrogate models have shown promise in solving partial dif...
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04/09/2022
Efficient Derivative-free Bayesian Inference for Large-Scale Inverse Problems
We consider Bayesian inference for large scale inverse problems, where c...
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03/24/2022
The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks
The term `surrogate modeling' in computational science and engineering r...
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10/19/2021
Long Random Matrices and Tensor Unfolding
In this paper, we consider the singular values and singular vectors of l...
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05/20/2021