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
Download
Poster (Scientific congresses and symposiums)
Differentiable composition for model discovery
Rochman Sharabi, Omer
;
Louppe, Gilles
2022
•
Machine Learning and the Physical Sciences, NeurIPS 2022
Peer reviewed
Permalink
https://hdl.handle.net/2268/309362
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
NeurIPS_ML4PS_2022_53.pdf
Author postprint (1.2 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 :
Computer science
Author, co-author :
Rochman Sharabi, Omer
;
Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Louppe, Gilles
;
Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Big Data
Language :
English
Title :
Differentiable composition for model discovery
Publication date :
03 December 2022
Event name :
Machine Learning and the Physical Sciences, NeurIPS 2022
Event date :
03/12/22
Peer reviewed :
Peer reviewed
Available on ORBi :
since 01 December 2023
Statistics
Number of views
14 (3 by ULiège)
Number of downloads
56 (4 by ULiège)
More statistics
Bibliography
Similar publications
Contact ORBi