Bozkurt Varolgüneş, Yasemin https://orcid.org/0000-0002-9179-2458
Bereau, Tristan https://orcid.org/0000-0001-9945-1271
Rudzinski, Joseph F https://orcid.org/0000-0003-3403-640X
Funding for this research was provided by:
Emmy Noether program of the Deutsche Forschungsgemeinschaft
Foreign collaborative research study support by The Scientific and Technological Research Council of Turkey, TUBIITAK- BIDEB (2214-A programme)
Long Program Machine Learning for Physics and the Physics of Learning at the Institute for Pure and Applied Mathematics
Article Title: Interpretable embeddings from molecular simulations using Gaussian mixture variational autoencoders
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2020 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2019-12-19
Date Accepted: 2020-03-17
Online publication date: 2020-04-27