date: 2021-10-27T12:45:29Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Interpretable embeddings from molecular simulations using Gaussian mixture variational autoencoders xmp:CreatorTool: XeLateX with hyperref package access_permission:can_print_degraded: true subject: Machine Learning: Science and Technology, 1 (2020) 015012 doi: 10.1088/2632-2153/ab80b7 language: dc:format: application/pdf; version=1.7 pdf:docinfo:creator_tool: XeLateX with hyperref package access_permission:fill_in_form: true pdf:encrypted: false dc:title: Interpretable embeddings from molecular simulations using Gaussian mixture variational autoencoders modified: 2021-10-27T12:45:29Z cp:subject: Machine Learning: Science and Technology, 1 (2020) 015012 doi: 10.1088/2632-2153/ab80b7 pdf:docinfo:subject: Machine Learning: Science and Technology, 1 (2020) 015012 doi: 10.1088/2632-2153/ab80b7 pdf:docinfo:creator: Yasemin Bozkurt Varolgünesto¸ ,Tristan Bereau ,Joseph F Rudzinski meta:author: Yasemin Bozkurt Varolgünesto¸ ,Tristan Bereau ,Joseph F Rudzinski meta:creation-date: 2020-04-25T09:45:00Z created: 2020-04-25T09:45:00Z access_permission:extract_for_accessibility: true Creation-Date: 2020-04-25T09:45:00Z Author: Yasemin Bozkurt Varolgünesto¸ ,Tristan Bereau ,Joseph F Rudzinski producer: XeLateX; modified using iText® 5.5.10 ©2000-2015 iText Group NV (AGPL-version) pdf:docinfo:producer: XeLateX; modified using iText® 5.5.10 ©2000-2015 iText Group NV (AGPL-version) pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Machine Learning: Science and Technology, 1 (2020) 015012 doi: 10.1088/2632-2153/ab80b7 Keywords: variational autoencoders,dimensionality reduction,clustering,Markov state models,molecular dynamics simulations access_permission:modify_annotations: true dc:creator: Yasemin Bozkurt Varolgünesto¸ ,Tristan Bereau ,Joseph F Rudzinski description: Machine Learning: Science and Technology, 1 (2020) 015012 doi: 10.1088/2632-2153/ab80b7 dcterms:created: 2020-04-25T09:45:00Z Last-Modified: 2021-10-27T12:45:29Z dcterms:modified: 2021-10-27T12:45:29Z title: Interpretable embeddings from molecular simulations using Gaussian mixture variational autoencoders xmpMM:DocumentID: uuid:3333395f-2675-44c9-8ae4-c4c9bb675fd7 Last-Save-Date: 2021-10-27T12:45:29Z pdf:docinfo:keywords: variational autoencoders,dimensionality reduction,clustering,Markov state models,molecular dynamics simulations pdf:docinfo:modified: 2021-10-27T12:45:29Z meta:save-date: 2021-10-27T12:45:29Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Yasemin Bozkurt Varolgünesto¸ ,Tristan Bereau ,Joseph F Rudzinski dc:language: dc:subject: variational autoencoders,dimensionality reduction,clustering,Markov state models,molecular dynamics simulations access_permission:assemble_document: true xmpTPg:NPages: 21 pdf:charsPerPage: 827 access_permission:extract_content: true access_permission:can_print: true meta:keyword: variational autoencoders,dimensionality reduction,clustering,Markov state models,molecular dynamics simulations access_permission:can_modify: true pdf:docinfo:created: 2020-04-25T09:45:00Z