Dynamical variational autoencoders : (Record no. 172349)
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000 -LEADER | |
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fixed length control field | 02081nam a22002657a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | IIITD |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240506131932.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240406b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781680839128 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | IIITD |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.1 |
Item number | GIR-D |
245 ## - TITLE STATEMENT | |
Title | Dynamical variational autoencoders : |
Remainder of title | a comprehensive review |
Statement of responsibility, etc | by Laurent Girin ... [et al.] |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc | Boston : |
Name of publisher, distributor, etc | Now Publishers, |
Date of publication, distribution, etc | ©2021 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 187 p. ; |
Dimensions | 23 cm. |
500 ## - GENERAL NOTE | |
General note | Variational autoencoders (VAEs) are powerful deep generative models widely used to represent high-dimensional complex data through a low-dimensional latent space learned in an unsupervised manner. In the original VAE model, the input data vectors are processed independently. Recently, a series of papers have presented different extensions of the VAE to process sequential data, which model not only the latent space but also the temporal dependencies within a sequence of data vectors and corresponding latent vectors, relying on recurrent neural networks or state-space models. In this monograph, we perform a literature review of these models. We introduce and discuss a general class of models, called dynamical variational autoencoders (DVAEs), which encompasses a large subset of these temporal VAE extensions. Then, we present in detail seven recently proposed DVAE models, with an aim to homogenize the notations and presentation lines, as well as to relate these models with existing classical temporal models. We have reimplemented those seven DVAE models and present the results of an experimental benchmark conducted on the speech analysis-resynthesis task (the PyTorch code is made publicly available). The monograph concludes with a discussion on important issues concerning the DVAE class of models and future research guidelines. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Dynamical |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Variational Autoencoders |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Girin, Laurent |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Leglaive, Simon |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Bie, Xiaoyu |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Diard, Julien |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Hueber, Thomas |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Alameda-Pineda, Xavier |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Books |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Bill No. | Bill Date | Cost, normal purchase price | PO No. | PO Date | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Vendor/Supplier | Koha item type | Public note |
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Dewey Decimal Classification | Loan on demand | Computer Science and Engineering | IIITD | IIITD | Reference | 06/04/2024 | 1170934 | 2024-03-28 | 5582 | Email2-05-03-2024 | 2024-03-05 | CB 006.1 GIR-D | 012796 | 05/05/2024 | $99 | 06/04/2024 | Atlantic Publishers & Distributors (P) Ltd. | Books | DBT Project Grant |