How more data can hurt: Instability and regularization in next-generation reservoir computing

28 January 2025

Papers citing "How more data can hurt: Instability and regularization in next-generation reservoir computing"

6 / 6 papers shown

Title
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 23 4 0 24 Sep 2024
Generative learning for nonlinear dynamics William Gilpin AI4CE PINN 52 24 0 07 Nov 2023
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle Rylan Schaeffer Mikail Khona Zachary Robertson Akhilan Boopathy Kateryna Pistunova J. Rocks Ila Rani Fiete Oluwasanmi Koyejo 54 29 0 24 Mar 2023
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing André Röhm D. Gauthier Ingo Fischer 42 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 197 2,254 0 18 Oct 2020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 77 152 0 02 Mar 2020