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06/12/2022
Machine learning based surrogate modeling with SVD enabled training for nonlinear civil structures subject to dynamic loading
The computationally expensive estimation of engineering demand parameter...
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02/14/2021
A Forward Backward Greedy approach for Sparse Multiscale Learning
Multiscale Models are known to be successful in uncovering and analyzing...
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07/09/2020
ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes
Modeling time series is a research focus in cryospheric sciences because...
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06/09/2020
Hierarchical regularization networks for sparsification based learning on noisy datasets
We propose a hierarchical learning strategy aimed at generating sparse r...
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06/27/2019