Trick or treat? Evaluating stability strategies in graph network-based simulators

Poster (Scientific congresses and symposiums)

Rochman Sharabi, Omer; Louppe, Gilles

2023 • Machine Learning and the Physical Sciences, NeurIPS 2023

Peer reviewed

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https://hdl.handle.net/2268/309361

neurips23-camera-1.pdf

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Disciplines :

Computer science
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others

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 :

Trick or treat? Evaluating stability strategies in graph network-based simulators

Publication date :

15 December 2023

Event name :

Machine Learning and the Physical Sciences, NeurIPS 2023

Event date :

15/12/23

Peer reviewed :

Peer reviewed

Available on ORBi :

since 01 December 2023

Number of views

26 (6 by ULiège)

Number of downloads

48 (3 by ULiège)