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06/18/2023
DropCompute: simple and more robust distributed synchronous training via compute variance reduction
Background: Distributed training is essential for large scale training o...
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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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09/26/2019
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
Background: Recent developments have made it possible to accelerate neur...
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05/28/2019
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Predicting not only the target but also an accurate measure of uncertain...
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01/27/2019