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06/06/2022
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
Advances in deep learning for human activity recognition have been relat...
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04/07/2019
Parametrization of stochastic inputs using generative adversarial networks with application in geology
We investigate artificial neural networks as a parametrization tool for ...
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09/20/2018
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks
We propose a framework for synthesis of geological images based on an ex...
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07/13/2018
Parametric generation of conditional geological realizations using generative neural networks
We introduce a method for parametric generation of conditional geologica...
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11/12/2017
A machine learning approach for efficient uncertainty quantification using multiscale methods
Several multiscale methods account for sub-grid scale features using coa...
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08/05/2017
