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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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11/25/2021
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference
We consider the Bayesian approach to the linear Gaussian inference probl...
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01/29/2021
Reduced operator inference for nonlinear partial differential equations
We present a new scientific machine learning method that learns from dat...
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12/17/2019