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Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms., , , , , , и . CoRR, (2019)Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations., , , , , и . CoRR, (2020)DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations, , , , , , , и . (2024)A Practical Probabilistic Benchmark for AI Weather Models., , , , , , , , и . CoRR, (2024)Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence., , , , и . CoRR, (2022)Generative Residual Diffusion Modeling for Km-scale Atmospheric Downscaling., , , , , , , , , и . CoRR, (2023)Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics., , , , , , и . Neural Networks, (2020)Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 2806-2823. PMLR, (2023)FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators., , , , , , , , , и 3 other автор(ы). CoRR, (2022)Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components., , , , , и . CoRR, (2021)