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Neural Ordinary Differential Equations for Nonlinear System
  Identification

Neural Ordinary Differential Equations for Nonlinear System Identification

28 February 2022
Aowabin Rahman
Ján Drgoňa
Aaron Tuor
J. Strube
ArXivPDFHTML

Papers citing "Neural Ordinary Differential Equations for Nonlinear System Identification"

11 / 11 papers shown
Title
Introducing Interval Neural Networks for Uncertainty-Aware System Identification
Introducing Interval Neural Networks for Uncertainty-Aware System Identification
Mehmet Ali Ferah
Tufan Kumbasar
29
0
0
26 Apr 2025
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Julius Aka
Johannes Brunnemann
Jörg Eiden
Arne Speerforck
Lars Mikelsons
38
0
0
14 Oct 2024
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural
  Processes
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural Processes
Lars Ullrich
Andreas Völz
Knut Graichen
37
1
0
09 Jul 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence:
  Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series
  Models
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models
Muralikrishnan Gopalakrishnan Meena
Demetri Liousas
Andrew D. Simin
Aditya Kashi
Wesley Brewer
James J. Riley
S. D. B. Kops
AI4TS
AI4CE
51
1
0
24 Apr 2024
SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study
SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study
Aurelio Raffa Ugolini
Valentina Breschi
Andrea Manzoni
M. Tanelli
48
2
0
01 Mar 2024
Deep networks for system identification: a Survey
Deep networks for system identification: a Survey
G. Pillonetto
Aleksandr Aravkin
Daniel Gedon
L. Ljung
Antônio H. Ribeiro
Thomas B. Schon
OOD
42
37
0
30 Jan 2023
Operator inference with roll outs for learning reduced models from
  scarce and low-quality data
Operator inference with roll outs for learning reduced models from scarce and low-quality data
W. I. Uy
D. Hartmann
Benjamin Peherstorfer
AI4CE
27
15
0
02 Dec 2022
Learning Time Delay Systems with Neural Ordinary Differential Equations
Learning Time Delay Systems with Neural Ordinary Differential Equations
Xun Ji
G. Orosz
43
6
0
28 Jun 2022
Constrained Block Nonlinear Neural Dynamical Models
Constrained Block Nonlinear Neural Dynamical Models
Elliott Skomski
Soumya Vasisht
Colby Wight
Aaron Tuor
Ján Drgoňa
D. Vrabie
AI4CE
37
15
0
06 Jan 2021
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
139
425
0
10 Mar 2020
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
283
1,401
0
01 Dec 2016
1