Deep learning for universal linear embeddings of nonlinear dynamics

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Deep learning for universal linear embeddings of nonlinear dynamics

27 December 2017

Steven L. Brunton

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Papers citing "Deep learning for universal linear embeddings of nonlinear dynamics"

11 / 411 papers shown

Title
Graph Dynamical Networks for Unsupervised Learning of Atomic Scale Dynamics in Materials T. Xie A. France-Lanord Yanming Wang Y. Shao-horn Jeffrey C. Grossman AI4CE 75 111 0 18 Feb 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 148 876 0 18 Jan 2019
Machine Learning for Molecular Dynamics on Long Timescales Frank Noé AI4CE 77 32 0 18 Dec 2018
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 127 391 0 26 Jul 2018
Deep Generative Markov State Models Hao Wu Andreas Mardt Luca Pasquali Frank Noe AI4CE 81 60 0 19 May 2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows Jeremy Morton F. Witherden A. Jameson Mykel J. Kochenderfer AI4CE 79 165 0 18 May 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow S. Wiewel M. Becher N. Thürey AI4CE 124 276 0 27 Feb 2018
Linearly-Recurrent Autoencoder Networks for Learning Dynamics Samuel E. Otto C. Rowley AI4CE 86 328 0 04 Dec 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi Yoshinobu Kawahara Takehisa Yairi 86 374 0 12 Oct 2017
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems Enoch Yeung Soumya Kundu Nathan Oken Hodas AI4CE 87 387 0 22 Aug 2017
Variational approach for learning Markov processes from time series data Hao Wu Frank Noé BDL AI4TS 92 266 0 14 Jul 2017