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01/10/2023
CDA: Contrastive-adversarial Domain Adaptation
Recent advances in domain adaptation reveal that adversarial learning on...
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09/26/2022
Robust Causality and False Attribution in Data-Driven Earth Science Discoveries
Causal and attribution studies are essential for earth scientific discov...
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02/17/2022
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations
Urban air pollution is a public health challenge in low- and middle-inco...
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01/07/2022
Explainable deep learning for insights in El Nino and river flows
The El Nino Southern Oscillation (ENSO) is a semi-periodic fluctuation i...
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06/23/2021
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise
Advances in neural architecture search, as well as explainability and in...
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11/25/2020
Mega Regional Heat Patterns in US Urban Corridors
Current literature suggests that urban heat-islands and their consequenc...
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08/12/2020
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling
Systems exhibiting nonlinear dynamics, including but not limited to chao...
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10/29/2019
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC)
New generation geostationary satellites make solar reflectance observati...
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02/13/2018
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
Deep Learning (DL) methods have been transforming computer vision with i...
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03/09/2017
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution
The impacts of climate change are felt by most critical systems, such as...
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02/13/2017