Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Explore
Search
Special collections
Statistics
News
Help
Start on ORBi
Deposit
Profile
Publication List
Add your ORCID
Tutorials
Legal Information
Training sessions
About
What's ORBi ?
Impact and visibility
Around ORBi
About statistics
About metrics
OAI-PMH
ORBi team
Release Notes
Back
Home
Detailled Reference
No full text
Unpublished conference/Abstract (Scientific congresses and symposiums)
A quick tour of deep generative models
Louppe, Gilles
2021
•
Debating the potential of machine learning in astronomical surveys
Permalink
https://hdl.handle.net/2268/264512
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
No document available.
Annexes
glouppe-deep-generative-models.pdf
Publisher postprint (14.22 MB)
Download
All documents in ORBi are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Disciplines :
Mathematics
Computer science
Author, co-author :
Louppe, Gilles
;
Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Big Data
Language :
English
Title :
A quick tour of deep generative models
Publication date :
20 October 2021
Event name :
Debating the potential of machine learning in astronomical surveys
Event organizer :
IAP, Paris
Event place :
Paris, France
Event date :
October 18-22, 2021
By request :
Yes
Audience :
International
Additional URL :
https://ml-iap2021.sciencesconf.org/
Available on ORBi :
since 26 October 2021
Statistics
Number of views
59 (3 by ULiège)
Number of downloads
29 (1 by ULiège)
More statistics
Bibliography
Similar publications
Contact ORBi