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Data-driven discovery of intrinsic dynamics
12 August 2021
D. Floryan
M. Graham
AI4CE
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Papers citing
"Data-driven discovery of intrinsic dynamics"
34 / 34 papers shown
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Ultralow-dimensionality reduction for identifying critical transitions by spatial-temporal PCA
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On instabilities in neural network-based physics simulators
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Jonas Kneifl
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Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target
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Yang Liu
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Joao Lucas de Sousa Almeida
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RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing
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Learning effective good variables from physical data
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10 Jan 2024
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow
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383
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Generative learning for nonlinear dynamics
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Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets
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Peter H. Haynes
260
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Bing Sun
Jiming Liu
Bo Yang
249
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Cristina P. Martin-Linares
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Ioannis G. Kevrekidis
267
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Interpretable learning of effective dynamics for multiscale systems
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Sebastian Kaltenbach
Mouadh Yagoubi
Marc Schoenauer
Petros Koumoutsakos
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266
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Finding emergence in data by maximizing effective information
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Zhipeng Wang
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Jiang Zhang
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365
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19 Aug 2023
Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra
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Zhuang Guo
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Fajun Yu
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Stephen J. Maybank
235
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04 Aug 2023
Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems
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Carlos E. Pérez De Jesús
Andrew J Fox
M. Graham
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412
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Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes
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S. Pagani
M. Salvador
Luca Dede'
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258
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Interpretable statistical representations of neural population dynamics and geometry
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Robert L. Peach
Alexis Arnaudon
Mauricio Barahona
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Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Ivica Kicic
Pantelis R. Vlachas
G. Arampatzis
Michail Chatzimanolakis
Leonidas Guibas
Petros Koumoutsakos
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233
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0
04 Apr 2023
Manifold Learning by Mixture Models of VAEs for Inverse Problems
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Giovanni S. Alberti
J. Hertrich
Matteo Santacesaria
Silvia Sciutto
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477
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27 Mar 2023
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning
International Journal of Heat and Fluid Flow (IJHFF), 2023
Alec J. Linot
Kevin Zeng
M. Graham
AI4CE
282
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28 Jan 2023
Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow
Journal of Fluid Mechanics (JFM), 2023
Alec J. Linot
M. Graham
AI4CE
199
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11 Jan 2023
Emerging trends in machine learning for computational fluid dynamics
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Steve Brunton
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195
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Deep learning delay coordinate dynamics for chaotic attractors from partial observable data
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Charles D. Young
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193
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20 Nov 2022
Data-driven low-dimensional dynamic model of Kolmogorov flow
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Carlos E. Pérez De Jesús
M. Graham
337
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0
29 Oct 2022
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders
Stefan C. Schonsheck
Scott Mahan
T. Klock
A. Cloninger
Rongjie Lai
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311
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0
22 Aug 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning
Proceedings of the Royal Society A (Proc. R. Soc. A), 2022
Kevin Zeng
Alec J. Linot
M. Graham
AI4CE
295
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01 May 2022
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