Stabilizing Machine Learning Prediction of Dynamics: Noise and
Noise-inspired Regularization

Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization

9 November 2022

Alexander Wikner

Brian R. Hunt

Andrew Pomerance

Thomas Antonsen

Papers citing "Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization"

3 / 3 papers shown

Title
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing André Röhm D. Gauthier Ingo Fischer 50 38 0 06 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 203 2,281 0 18 Oct 2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems Alexander Wikner Jaideep Pathak Brian Hunt M. Girvan T. Arcomano I. Szunyogh Andrew Pomerance Edward Ott AI4CE 62 70 0 10 Feb 2020