date: 2024-04-02T08:22:09Z pdf:PDFVersion: 1.7 pdf:docinfo:title: The impact of memory on learning sequence-to-sequence tasks xmp:CreatorTool: XeLateX with hyperref package access_permission:can_print_degraded: true subject: Machine Learning: Science and Technology, 5 (2024) 015053 doi: 10.1088/2632-2153/ad2feb 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: The impact of memory on learning sequence-to-sequence tasks modified: 2024-04-02T08:22:09Z cp:subject: Machine Learning: Science and Technology, 5 (2024) 015053 doi: 10.1088/2632-2153/ad2feb pdf:docinfo:subject: Machine Learning: Science and Technology, 5 (2024) 015053 doi: 10.1088/2632-2153/ad2feb pdf:docinfo:creator: Alireza Seif,Sarah A M Loos,Gennaro Tucci,Édgar Roldán,Sebastian Goldt meta:author: Alireza Seif,Sarah A M Loos,Gennaro Tucci,Édgar Roldán,Sebastian Goldt meta:creation-date: 2024-03-19T16:30:00Z created: 2024-03-19T16:30:00Z access_permission:extract_for_accessibility: true Creation-Date: 2024-03-19T16:30:00Z Author: Alireza Seif,Sarah A M Loos,Gennaro Tucci,Édgar Roldán,Sebastian Goldt producer: XeLateX; modified using iText® 5.5.13.3 ©2000-2022 iText Group NV (AGPL-version) pdf:docinfo:producer: XeLateX; modified using iText® 5.5.13.3 ©2000-2022 iText Group NV (AGPL-version) pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Machine Learning: Science and Technology, 5 (2024) 015053 doi: 10.1088/2632-2153/ad2feb Keywords: sequence-to-sequence task,auto-regressive model,recurrent neural network,memory,non-Markovianity,statistical physics access_permission:modify_annotations: true dc:creator: Alireza Seif,Sarah A M Loos,Gennaro Tucci,Édgar Roldán,Sebastian Goldt description: Machine Learning: Science and Technology, 5 (2024) 015053 doi: 10.1088/2632-2153/ad2feb dcterms:created: 2024-03-19T16:30:00Z Last-Modified: 2024-04-02T08:22:09Z dcterms:modified: 2024-04-02T08:22:09Z title: The impact of memory on learning sequence-to-sequence tasks xmpMM:DocumentID: uuid:c4cef7f2-000a-4339-8a8d-c9005fd1dc90 Last-Save-Date: 2024-04-02T08:22:09Z pdf:docinfo:keywords: sequence-to-sequence task,auto-regressive model,recurrent neural network,memory,non-Markovianity,statistical physics pdf:docinfo:modified: 2024-04-02T08:22:09Z meta:save-date: 2024-04-02T08:22:09Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Alireza Seif,Sarah A M Loos,Gennaro Tucci,Édgar Roldán,Sebastian Goldt dc:language: dc:subject: sequence-to-sequence task,auto-regressive model,recurrent neural network,memory,non-Markovianity,statistical physics access_permission:assemble_document: true xmpTPg:NPages: 17 pdf:charsPerPage: 779 access_permission:extract_content: true access_permission:can_print: true meta:keyword: sequence-to-sequence task,auto-regressive model,recurrent neural network,memory,non-Markovianity,statistical physics access_permission:can_modify: true pdf:docinfo:created: 2024-03-19T16:30:00Z