Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network
Name
17507-Article Text-21001-1-2-20210518.pdf
Description
Published version
Size
442.36 KB
Format
Adobe PDF
Checksum (MD5)
55ace485506b9e7f644b888a61e8abf1
Author(s)
Yeo, Kyongmin
Grullon, Dylan EC
Sun, Fan-Keng
Boning, Duane S
Kalagnanam, Jayant R
Date Issued
2021
Journal
SIAM Journal on Scientific Computing
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Citation
Yeo, Kyongmin, Grullon, Dylan EC, Sun, Fan-Keng, Boning, Duane S and Kalagnanam, Jayant R. 2021. "Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network." SIAM Journal on Scientific Computing, 43 (2).
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Media Laboratory
Sloan School of Management
Massachusetts Institute of Technology. Department of Physics
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1137/20M1323151
