Generative learning for nonlinear dynamics

7 November 2023

Papers citing "Generative learning for nonlinear dynamics"

9 / 9 papers shown

Title
How more data can hurt: Instability and regularization in next-generation reservoir computing Yuanzhao Zhang Edmilson Roque dos Santos Sean P. Cornelius 77 2 0 28 Jan 2025
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 22 2 0 07 Oct 2024
Harnessing and modulating chaos to sample from neural generative models Rishidev Chaudhuri Vivek Handebagh 13 0 0 26 Sep 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 37 4 0 24 Sep 2024
Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead Sarah E. Marzen P. Riechers James P. Crutchfield 41 2 0 25 Mar 2023
On the difficulty of learning chaotic dynamics with RNNs Jonas M. Mikhaeil Zahra Monfared Daniel Durstewitz 51 50 0 14 Oct 2021
Data-driven discovery of intrinsic dynamics D. Floryan M. Graham AI4CE 82 70 0 12 Aug 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 197 2,254 0 18 Oct 2020
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 109 355 0 30 Oct 2017