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Flexible Densities for Deep Generative Models
Nielsen, Didrik
(PhD Student)
Winther, Ole
(Main Supervisor)
Schmidt, Mikkel N.
(Supervisor)
Hauberg, Søren
(Examiner)
Lobato, José Miguel Hernández
(Examiner)
van den Berg, Rianne
(Examiner)
Cognitive Systems
Department of Applied Mathematics and Computer Science
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/01/2019
→
08/04/2022
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Deep Learning
Computer Science
100%
Generative Model
Computer Science
100%
Deep Generative Model
Computer Science
100%
Generative Flow
Keyphrases
100%
Research Effort
Computer Science
50%
Autoencoder
Computer Science
50%
Computational Power
Computer Science
50%
Density Computation
Keyphrases
25%
Research output
Research output per year
2022
2022
2022
1
Ph.D. thesis
Research output per year
Research output per year
Deep Generative Flows with Non-Bijective Layers
Nielsen, D.,
2022
,
Technical University of Denmark
.
159 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Deep Generative Model
100%
Deep Learning
100%
Generative Model
100%
Generative Flow
100%
Research Effort
50%
710
Downloads (Orbit)