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08/02/2023
Multi-variable Hard Physical Constraints for Climate Model Downscaling
Global Climate Models (GCMs) are the primary tool to simulate climate ev...
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05/23/2023
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
Climate simulations are essential in guiding our understanding of climat...
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11/22/2022
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds
Pyrocumulonimbus (pyroCb) clouds are storm clouds generated by extreme w...
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11/16/2022
Identifying the Causes of Pyrocumulonimbus (PyroCb)
A first causal discovery analysis from observational data of pyroCb (sto...
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08/08/2022
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
The availability of reliable, high-resolution climate and weather data i...
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08/08/2022
Abstract error analysis for Cahn–Hilliard type equations with dynamic boundary conditions
This work addresses the problem of solving the Cahn-Hilliard equation nu...
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03/04/2021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Despite the success of convolutional neural networks (CNNs) in many comp...
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11/13/2020
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations
The recent explosion in applications of machine learning to satellite im...
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05/07/2020