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Transfer learning for nonlinear dynamics and its application to fluid
  turbulence

Transfer learning for nonlinear dynamics and its application to fluid turbulence

Physical Review E (PRE), 2020
3 September 2020
Masanobu Inubushi
S. Goto
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Transfer learning for nonlinear dynamics and its application to fluid turbulence"

11 / 11 papers shown
On the Generalisation of Koopman Representations for Chaotic System Control
On the Generalisation of Koopman Representations for Chaotic System Control
Kyriakos Hjikakou
Juan Cardenas-Cartagena
Matthia Sabatelli
AI4CE
88
0
0
26 Aug 2025
Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
Mohammad Shah Alam
William Ott
Ilya Timofeyev
238
0
0
30 May 2025
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series DataInternational Conference on Learning Representations (ICLR), 2024
Manuel Brenner
Elias Weber
G. Koppe
Daniel Durstewitz
AI4TSAI4CE
320
22
0
07 Oct 2024
Reservoir Computing with Generalized Readout based on Generalized
  Synchronization
Reservoir Computing with Generalized Readout based on Generalized SynchronizationScientific Reports (Sci Rep), 2024
Akane Ookubo
Masanobu Inubushi
77
11
0
03 May 2024
Ultrafast single-channel machine vision based on neuro-inspired photonic
  computing
Ultrafast single-channel machine vision based on neuro-inspired photonic computingCommunications Physics (Commun. Phys.), 2023
Tomoya Yamaguchi
Kohei Arai
T. Niiyama
Atsushi Uchida
S. Sunada
253
21
0
15 Feb 2023
Learning Reservoir Dynamics with Temporal Self-Modulation
Learning Reservoir Dynamics with Temporal Self-ModulationCommunications Physics (Commun. Phys.), 2023
Yusuke Sakemi
S. Nobukawa
Toshitaka Matsuki
Takashi Morie
Kazuyuki Aihara
248
12
0
23 Jan 2023
Explaining the physics of transfer learning a data-driven subgrid-scale
  closure to a different turbulent flow
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flowPNAS Nexus (PNAS Nexus), 2022
Adam Subel
Yifei Guan
Ashesh Chattopadhyay
Pedram Hassanzadeh
AI4CE
257
53
0
07 Jun 2022
Global Extreme Heat Forecasting Using Neural Weather Models
Global Extreme Heat Forecasting Using Neural Weather ModelsArtificial Intelligence for the Earth Systems (AIES), 2022
I. Lopez‐Gomez
A. McGovern
Shreya Agrawal
Jason Hickey
AI4Cl
348
53
0
23 May 2022
Image features of a splashing drop on a solid surface extracted using a
  feedforward neural network
Image features of a splashing drop on a solid surface extracted using a feedforward neural networkThe Physics of Fluids (Phys. Fluids), 2022
Jingzu Yee
A. Yamanaka
Yoshiyuki Tagawa(田川義之)
132
14
0
24 Jan 2022
Predicting Shallow Water Dynamics using Echo-State Networks with
  Transfer Learning
Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning
Xiaoqian Chen
Balasubramanya T. Nadiga
Ilya Timofeyev
171
7
0
16 Dec 2021
Physical deep learning based on optimal control of dynamical systems
Physical deep learning based on optimal control of dynamical systemsPhysical Review Applied (PR Applied), 2020
Genki Furuhata
T. Niiyama
S. Sunada
PINNAI4CE
420
19
0
16 Dec 2020
1
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