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2012.13869
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Neural Closure Models for Dynamical Systems
Proceedings of the Royal Society A (Proc. R. Soc. A), 2020
27 December 2020
Abhinav Gupta
Pierre FJ Lermusiaux
AI4CE
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Papers citing
"Neural Closure Models for Dynamical Systems"
17 / 17 papers shown
Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence
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Evaluation of Deep Neural Operator Models toward Ocean Forecasting
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22 Aug 2023
A Multifidelity deep operator network approach to closure for multiscale systems
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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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13 Feb 2023
Generalized Neural Closure Models with Interpretability
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Stable rank-adaptive Dynamically Orthogonal Runge-Kutta schemes
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Comparison of neural closure models for discretised PDEs
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Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems
Scientific Reports (Sci Rep), 2022
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Suraj Pawar
Adil Rasheed
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162
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07 Jul 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Mechanical systems and signal processing (MSSP), 2022
Barbara Z Cunha
C. Droz
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M. Ichchou
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13 Apr 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning
Said Ouala
Steven L. Brunton
A. Pascual
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Ronan Fablet
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441
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11 Feb 2022
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events
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T. Sapsis
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01 Dec 2021
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Andreas Schlaginhaufen
Philippe Wenk
Andreas Krause
Florian Dorfler
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27 Oct 2021
Super-resolution data assimilation
Sébastien Barthélémy
J. Brajard
Laurent Bertino
F. Counillon
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04 Sep 2021
A Framework for Machine Learning of Model Error in Dynamical Systems
Communications of the American Mathematical Society (Comm. Amer. Math. Soc.), 2021
Matthew E. Levine
Andrew M. Stuart
382
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14 Jul 2021
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