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Deep learning to discover and predict dynamics on an inertial manifold

20 December 2019

Papers citing "Deep learning to discover and predict dynamics on an inertial manifold"

35 / 35 papers shown

Title
Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems Ira J. S. Shokar Peter H. Haynes R. Kerswell AI4TS 86 1 0 28 Feb 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 151 4 0 17 Feb 2025
Inferring stability properties of chaotic systems on autoencoders' latent spaces Elise Özalp Luca Magri 79 1 0 23 Oct 2024
Stability analysis of chaotic systems in latent spaces Elise Özalp Luca Magri 89 3 0 01 Oct 2024
On instabilities in neural network-based physics simulators Daniel Floryan AI4CE 73 2 0 18 Jun 2024
Data-driven low-dimensional model of a sedimenting flexible fiber Andrew J Fox Michael D. Graham AI4CE 70 2 0 16 May 2024
Generative Learning for Forecasting the Dynamics of Complex Systems Han Gao Sebastian Kaltenbach Petros Koumoutsakos AI4TS AI4CE 123 8 0 27 Feb 2024
A Novel Paradigm in Solving Multiscale Problems Jing Wang Zheng Li Pengyu Lai Rui Wang Di Yang Dewu Yang Hui Xu Wenquan Tao AI4CE 82 0 0 07 Feb 2024
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing Junaid Farooq Danish Rafiq Pantelis R. Vlachas M. A. Bazaz 59 0 0 24 Jan 2024
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow Carlos E. Pérez De Jesús Alec J. Linot Michael D. Graham AI4CE 94 2 0 15 Dec 2023
Generative learning for nonlinear dynamics William Gilpin AI4CE PINN 123 27 0 07 Nov 2023
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets Ira J. S. Shokar R. Kerswell Peter H. Haynes 80 5 0 25 Oct 2023
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era E. D. Koronaki N. Evangelou Cristina P. Martin-Linares E. Titi Ioannis G. Kevrekidis 52 6 0 24 Oct 2023
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches Ricardo Constante-Amores Alec J. Linot Michael D. Graham 76 10 0 10 Oct 2023
Interpretable learning of effective dynamics for multiscale systems Emmanuel Menier Sebastian Kaltenbach Mouadh Yagoubi Marc Schoenauer Petros Koumoutsakos AI4CE 79 7 0 11 Sep 2023
Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems Kevin Zeng Carlos E. Pérez De Jesús Andrew J Fox M. Graham AI4CE 89 14 0 01 May 2023
Recurrences reveal shared causal drivers of complex time series W. Gilpin CML AI4TS 90 8 0 31 Jan 2023
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning Alec J. Linot Kevin Zeng M. Graham AI4CE 49 19 0 28 Jan 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows Kai Fukami K. Fukagata Kunihiko Taira AI4CE 81 110 0 26 Jan 2023
Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow Alec J. Linot M. Graham AI4CE 50 22 0 11 Jan 2023
Data-driven low-dimensional dynamic model of Kolmogorov flow Carlos E. Pérez De Jesús M. Graham 103 24 0 29 Oct 2022
Prospects of federated machine learning in fluid dynamics Omer San Suraj Pawar Adil Rasheed FedML AI4CE 52 4 0 15 Aug 2022
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 86 11 0 07 Jul 2022
Learning effective dynamics from data-driven stochastic systems Lingyu Feng Ting Gao Min Dai Jinqiao Duan SyDa AI4CE 159 4 0 09 May 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 81 29 0 01 May 2022
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders Joseph Bakarji Kathleen P. Champion J. Nathan Kutz Steven L. Brunton 111 86 0 13 Jan 2022
Symmetry-Aware Autoencoders: s-PCA and s-nlPCA Simon Kneer T. Sayadi D. Sipp Peter J. Schmid Georgios Rigas 59 10 0 04 Nov 2021
Nonlinear proper orthogonal decomposition for convection-dominated flows Shady E. Ahmed Omer San Adil Rasheed T. Iliescu 56 38 0 15 Oct 2021
Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations Alec J. Linot M. Graham 57 51 0 31 Aug 2021
Data-driven discovery of intrinsic dynamics D. Floryan M. Graham AI4CE 183 78 0 12 Aug 2021
Learning normal form autoencoders for data-driven discovery of universal,parameter-dependent governing equations M. Kalia Steven L. Brunton H. Meijer C. Brune J. Nathan Kutz AI4CE 42 20 0 09 Jun 2021
Learning emergent PDEs in a learned emergent space Felix P. Kemeth Tom S. Bertalan Thomas Thiem Felix Dietrich S. Moon C. Laing Ioannis G. Kevrekidis AI4CE 34 7 0 23 Dec 2020
Using machine-learning modelling to understand macroscopic dynamics in a system of coupled maps Francesco Borra Marco Baldovin AI4CE 66 2 0 08 Nov 2020
OnsagerNet: Learning Stable and Interpretable Dynamics using a Generalized Onsager Principle Haijun Yu Xinyuan Tian Weinan E Qianxiao Li AI4CE 112 44 0 06 Sep 2020
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics Pantelis R. Vlachas G. Arampatzis Caroline Uhler Petros Koumoutsakos AI4CE 107 150 0 24 Jun 2020