33 citations · 74 across the 5 of their papers we have counts for
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physics.chem-ph2018
Rapid Prediction of Electron-Ionization Mass Spectrometry using Neural Networks
Jennifer N. Wei, David Belanger, Ryan P. Adams +1
When confronted with a substance of unknown identity, researchers often perform mass spectrometry on the sample and compare the observed spectrum to a library of previously-collect…
stat.ML2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo Mena, David Belanger, Scott Linderman +1
Permutations and matchings are core building blocks in a variety of latent variable models, as they allow us to align, canonicalize, and sort data. Learning in such models is diffi…