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Found 4 papers, 1 papers with code
Kunyu: A High-Performing Global Weather Model Beyond Regression Losses
Over the past year, data-driven global weather forecasting has emerged as a new alternative to traditional numerical weather prediction.
ChemiRise: a data-driven retrosynthesis engine
We have developed an end-to-end, retrosynthesis system, named ChemiRise, that can propose complete retrosynthesis routes for organic compounds rapidly and reliably.
Molecular modeling with machine-learned universal potential functions
Molecular modeling is an important topic in drug discovery.
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
We propose DoReFa-Net, a method to train convolutional neural networks that have low bitwidth weights and activations using low bitwidth parameter gradients.
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