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2201.05136
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Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders
Proceedings of the Royal Society A (Proc. R. Soc. A), 2022
13 January 2022
Joseph Bakarji
Kathleen P. Champion
J. Nathan Kutz
Steven L. Brunton
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Papers citing
"Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders"
43 / 43 papers shown
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Generalized Teacher Forcing for Learning Chaotic Dynamics
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Florian Hess
Zahra Monfared
Manuela Brenner
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441
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Simultaneous identification of models and parameters of scientific simulators
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Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction
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255
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13 Feb 2023
Benchmarking sparse system identification with low-dimensional chaos
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303
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Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
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512
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Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue
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293
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Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs
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365
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Deep Learning of Chaotic Systems from Partially-Observed Data
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D. Xiu
272
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Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects
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293
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457
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Dimensionally Consistent Learning with Buckingham Pi
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Jared L. Callaham
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N. Kutz
182
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Learning Dissipative Dynamics in Chaotic Systems
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Miguel Liu-Schiaffini
Nikola B. Kovachki
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478
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13 Jun 2021
1
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