Towards a better understanding of deep neural networks representations using deep generative networks
2017
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Title
Towards a better understanding of deep neural networks representations using deep generative networks
Author(s)
Despraz, Jérémie (School of Management and Engineering Vaud, HES-SO University of Applied Sciences Western Switzerland ; SIB Swiss Intitute of Bioinformatics, Lausanne, Switzerland)
Gomez Schnyder, Stéphane (School of Management and Engineering Vaud, HES-SO University of Applied Sciences Western Switzerland ; SIB Swiss Intitute of Bioinformatics, Lausanne, Switzerland)
Satizábal, Héctor F. (School of Engineering and Management Vaud, HES-SO, University of Applied Sciences and Arts Western Switzerland)
Peña-Reyes, Carlos Andrés (School of Management and Engineering Vaud, HES-SO University of Applied Sciences Western Switzerland ; SIB Swiss Intitute of Bioinformatics, Lausanne, Switzerland)
Gomez Schnyder, Stéphane (School of Management and Engineering Vaud, HES-SO University of Applied Sciences Western Switzerland ; SIB Swiss Intitute of Bioinformatics, Lausanne, Switzerland)
Satizábal, Héctor F. (School of Engineering and Management Vaud, HES-SO, University of Applied Sciences and Arts Western Switzerland)
Peña-Reyes, Carlos Andrés (School of Management and Engineering Vaud, HES-SO University of Applied Sciences Western Switzerland ; SIB Swiss Intitute of Bioinformatics, Lausanne, Switzerland)
Date
2017-11
Published in
Proceedings of the 9th International Joint Conference on Computational Intelligence, 1-3 November 2017, Funchal, Madeira, Portugal
Publisher
Funchal, Madeira, Portugal, 1-3 November 2017
Pagination
8 p.
Presented at
Proceedings of the 9th International Joint Conference on Computational Intelligence, Funchal, Madeira, Portugal, 2017-11-01, 2017-11-03
ISBN
978-989-758-274-5
Paper type
full paper
Faculty
Ingénierie et Architecture
School
HEIG-VD
Institute
IICT - Institut des Technologies de l'Information et de la Communication
Record Appears in
Conference materials
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