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Deep Generative Models for Collaborative Filtering
Bergamin, Federico
(PhD Student)
Frellsen, Jes
(Main Supervisor)
Hauberg, Søren
(Supervisor)
Mattei, Pierre-Alexandre
(Supervisor)
Bauer, Matthias
(Examiner)
Nalisnick, Eric
(Examiner)
Cognitive Systems
Department of Applied Mathematics and Computer Science
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/10/2020
→
06/09/2024
View all
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Fingerprint
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 Generative Model
Computer Science
100%
Generative Model
Engineering
100%
Neural Network
Computer Science
33%
Deep Learning Method
Engineering
33%
Partial Differential Equation
Computer Science
16%
Anomaly Detection
Computer Science
16%
Training Data
Computer Science
16%
Data Matrix
Computer Science
16%
Research output
Research output per year
2024
2024
2024
1
Ph.D. thesis
Research output per year
Research output per year
Advances in Deep Generative Models, Approximate Inference, and their Applications
Bergamin, F.
,
2024
,
Technical University of Denmark
.
202 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Deep Generative Model
100%
Generative Model
100%
Neural Network
100%
Deep Learning Method
100%
Data Matrix
16%
379
Downloads (Orbit)