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07/30/2023
AI Increases Global Access to Reliable Flood Forecasts
Floods are one of the most common and impactful natural disasters, with ...
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04/21/2022
Accelerating Physics Simulations with TPUs: An Inundation Modeling Example
Recent advancements in hardware accelerators such as Tensor Processing U...
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11/06/2021
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa
Desert locust outbreaks threaten the food security of a large part of Af...
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11/04/2021
Flood forecasting with machine learning models in an operational framework
The operational flood forecasting system by Google was developed to prov...
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06/14/2021
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
Background: Floods are the most common natural disaster in the world, af...
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11/29/2020
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach
Floods are among the most common and deadly natural disasters in the wor...
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07/01/2020
HydroNets: Leveraging River Structure for Hydrologic Modeling
Accurate and scalable hydrologic models are essential building blocks of...
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11/21/2019
Accurate Hydrologic Modeling Using Less Information
Joint models are a common and important tool in the intersection of mach...
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10/27/2019
Spectral Algorithm for Low-rank Multitask Regression
Multitask learning, i.e. taking advantage of the relatedness of individu...
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10/11/2019
Inundation Modeling in Data Scarce Regions
Flood forecasts are crucial for effective individual and governmental pr...
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01/28/2019
ML for Flood Forecasting at Scale
Effective riverine flood forecasting at scale is hindered by a multitude...
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01/03/2019
