4 citations · 6 across the 5 of their papers we have counts for
Showing 2024 · cs.LGShow all
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cs.LG2024★ 2 cited
TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems
Hai V. Nguyen, Tan Bui-Thanh, Clint Dawson
Efficient real-time solvers for forward and inverse problems are essential in engineering and science applications. Machine learning surrogate models have emerged as promising alte…
cs.LG2024★ 4 cited
Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy
Stefanos Giaremis, Noujoud Nader, Clint Dawson +3
Physics simulation results of natural processes usually do not fully capture the real world. This is caused for instance by limits in what physical processes are simulated and to w…