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03/28/2022
Wildfire risk forecast: An optimizable fire danger index
Wildfire events have caused severe losses in many places around the worl...
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12/10/2021
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion
Global warming leads to the increase in frequency and intensity of clima...
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07/30/2021
Controlling Weather Field Synthesis Using Variational Autoencoders
One of the consequences of climate change is anobserved increase in the ...
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07/16/2021
A comparative study of stochastic and deep generative models for multisite precipitation synthesis
Future climate change scenarios are usually hypothesized using simulatio...
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07/14/2021
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
An impact of climate change is the increase in frequency and intensity o...
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06/21/2021
Decadal Forecasts with ResDMD: a Residual DMD Neural Network
Operational forecasting centers are investing in decadal (1-10 year) for...
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02/17/2021
Geostatistical Learning: Challenges and Opportunities
Statistical learning theory provides the foundation to applied machine l...
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02/05/2021
A modular framework for extreme weather generation
Extreme weather events have an enormous impact on society and are expect...
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07/03/2019
Learning Multi-Party Turn-Taking Models from Dialogue Logs
This paper investigates the application of machine learning (ML) techniq...
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05/10/2019
Semantic Segmentation of Seismic Images
Almost all work to understand Earth's subsurface on a large scale relies...
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05/15/2017
A data-driven workflow for predicting horizontal well production using vertical well logs
In recent work, data-driven sweet spotting technique for shale plays pre...
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06/27/2012
