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01/21/2021
Filling the gap between GRACE- and GRACE-FO-derived terrestrial water storage anomalies with Bayesian convolutional neural networks
There is an approximately one-year observation gap of terrestrial water ...
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06/26/2019
Integration of adversarial autoencoders with residual dense convolutional networks for inversion of solute transport in non-Gaussian conductivity fields
Characterization of a non-Gaussian channelized conductivity field in sub...
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12/22/2018
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification
Identification of a groundwater contaminant source simultaneously with t...
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07/02/2018