Kernel Analog Forecasting: Multiscale Test Problems

13 May 2020

Papers citing "Kernel Analog Forecasting: Multiscale Test Problems"

7 / 7 papers shown

Title
Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation Lingda Wang Savana Ammons V. M. Hur Ryan Sriver Zhizhen Zhao AI4Cl 23 2 0 18 Jun 2023
Operator inference with roll outs for learning reduced models from scarce and low-quality data W. I. Uy D. Hartmann Benjamin Peherstorfer AI4CE 25 15 0 02 Dec 2022
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems Matthew J. Colbrook 36 34 0 06 Sep 2022
Ensemble forecasts in reproducing kernel Hilbert space family Benjamin Dufée Berenger Hug É. Mémin G. Tissot 24 1 0 29 Jul 2022
Learning nonparametric ordinary differential equations from noisy data Kamel Lahouel Michael L. Wells Victor Rielly Ethan Lew David M Lovitz Bruno Jedynak 31 5 0 30 Jun 2022
Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems Matthew J. Colbrook Alex Townsend 26 67 0 29 Nov 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi Isao Ishikawa Kendall Lowrey Masahiro Ikeda Sham Kakade Yoshinobu Kawahara 21 5 0 30 Jun 2021