DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems

6 February 2024

Papers citing "DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems"

6 / 6 papers shown

Title
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 32 4 0 09 Nov 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 29 2 0 07 Oct 2024
ACE: A fast, skillful learned global atmospheric model for climate prediction Oliver Watt‐Meyer Gideon Dresdner Jeremy McGibbon Spencer K. Clark Brian Henn ... K. Kashinath Michael S. Pritchard Boris Bonev Matthew E. Peters Christopher S. Bretherton AI4Cl 45 40 0 03 Oct 2023
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein Marco Cuturi Laetitia Meng-Papaxanthos Yingtao Tian Charlotte Bunne Geoff Davis O. Teboul OT 143 94 0 28 Jan 2022
On the difficulty of learning chaotic dynamics with RNNs Jonas M. Mikhaeil Zahra Monfared Daniel Durstewitz 57 50 0 14 Oct 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,254 0 18 Oct 2020