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Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Real-time large deformations: A probabilistic deep learning approach
Deshpande, Saurabh; Lengiewicz, Jakub; Bordas, Stéphane
2022 • In The 8th European Congress on Computational Methods in Applied Sciences and Engineering
Peer reviewed
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https://hdl.handle.net/10993/52344
 

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Keywords :
Real Time Simulation; Probabilistic Deep Learning
Disciplines :
Computer science
Author, co-author :
Deshpande, Saurabh  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Lengiewicz, Jakub ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Bordas, Stéphane ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
External co-authors :
yes
Language :
English
Title :
Real-time large deformations: A probabilistic deep learning approach
Publication date :
June 2022
Event name :
The 8th European Congress on Computational Methods in Applied Sciences and Engineering
Event place :
Oslo, Norway
Event date :
05-06-2022 to 09-06-2022
Main work title :
The 8th European Congress on Computational Methods in Applied Sciences and Engineering
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
European Projects :
H2020 - 764644 - RAINBOW - Rapid Biomechanics Simulation for Personalized Clinical Design
Funders :
CE - Commission Européenne [BE]
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since 07 October 2022

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