57 citations · 121 across the 9 of their papers we have counts for
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cs.LG2018★ 10 cited
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks
Phillip Pope, Soheil Kolouri, Mohammad Rostrami +2
Functional groups (FGs) are molecular substructures that are served as a foundation for analyzing and predicting chemical properties of molecules. Automatic discovery of FGs will i…
cs.LG2018★ 57 cited
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Soheil Kolouri, Phillip E. Pope, Charles E. Martin +1
In this paper we study generative modeling via autoencoders while using the elegant geometric properties of the optimal transport (OT) problem and the Wasserstein distances. We int…