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Continuous-time system identification with neural networks: Model structures and fitting criteria

Continuous-time system identification with neural networks: Model structures and fitting criteria

Marco Forgione
Dario Piga
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Papers citing "Continuous-time system identification with neural networks: Model structures and fitting criteria"

4 / 4 papers shown
Title
Universal Differential Equations for Scientific Machine Learning
Universal Differential Equations for Scientific Machine Learning
Christopher Rackauckas
Yingbo Ma
Julius Martensen
Collin Warner
K. Zubov
R. Supekar
Dominic J. Skinner
Ali Ramadhan
Alan Edelman
AI4CE
50
578
0
13 Jan 2020
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
232
5,024
0
19 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto
E. Haber
AI4CE
64
488
0
12 Apr 2018
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
171
16,311
0
30 Apr 2014