Training neural operators to preserve invariant measures of chaotic
attractors

Training neural operators to preserve invariant measures of chaotic attractors

1 June 2023

Rebecca Willett

Papers citing "Training neural operators to preserve invariant measures of chaotic attractors"

19 / 19 papers shown

Title
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Christoph Jürgen Hemmer Daniel Durstewitz AI4TS SyDa AI4CE 17 0 0 19 May 2025
Non-stationary Diffusion For Probabilistic Time Series Forecasting Weiwei Ye Zhuopeng Xu Ning Gui DiffM 66 0 0 07 May 2025
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos Chris Pedersen L. Zanna Joan Bruna 55 2 0 24 Mar 2025
Invariant Measures for Data-Driven Dynamical System Identification: Analysis and Application Jonah Botvinick-Greenhouse 64 0 0 31 Jan 2025
Nested Diffusion Models Using Hierarchical Latent Priors Xiao Zhang Ruoxi Jiang Rebecca Willett Michael Maire BDL DiffM 78 0 0 08 Dec 2024
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 41 4 0 09 Nov 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data Eric Volkmann Alena Brändle Daniel Durstewitz G. Koppe AI4CE 33 2 0 05 Nov 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 44 4 0 07 Oct 2024
Embed and Emulate: Contrastive representations for simulation-based inference Ruoxi Jiang Peter Y. Lu Rebecca Willett 36 0 0 27 Sep 2024
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs Hrishikesh Viswanath Yue Chang Julius Berner Julius Berner Peter Yichen Chen Aniket Bera AI4CE 68 2 0 04 Jul 2024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes Yifan Chen Mark Goldstein Mengjian Hua M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden AI4TS 33 17 0 20 Mar 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring Florian Hess Manuel Brenner Zahra Monfared Daniel Durstewitz AI4CE 43 12 0 28 Feb 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 36 13 0 06 Feb 2024
PICL: Physics Informed Contrastive Learning for Partial Differential Equations Cooper Lorsung A. Farimani AI4CE 33 4 0 29 Jan 2024
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuela Brenner Florian Hess G. Koppe Daniel Durstewitz 33 10 0 15 Dec 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 61 120 0 30 Sep 2022
On the difficulty of learning chaotic dynamics with RNNs Jonas M. Mikhaeil Zahra Monfared Daniel Durstewitz 64 53 0 14 Oct 2021
Auto-differentiable Ensemble Kalman Filters Yuming Chen D. Sanz-Alonso Rebecca Willett 44 34 0 16 Jul 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 268 2,309 0 18 Oct 2020