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Clint N. Dawson

Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX

Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion

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Sep 15, 2020
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Prevention is Better than Cure: Handling Basis Collapse and Transparency in Dense Networks

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Aug 22, 2020
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TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes

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Mar 06, 2020
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High Temporal Resolution Rainfall Runoff Modelling Using Long-Short-Term-Memory (LSTM) Networks

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Feb 07, 2020
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