From post

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Quantifying the eddy-jet feedback strength of the annular mode in an idealized GCM and reanalysis data, , и . (14.08.2016)Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning., , , и . J. Comput. Phys., (2022)Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence., , , , и . CoRR, (2022)Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems., , , и . CoRR, (2022)A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings., и . J. Comput. Phys., (2021)Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems., , , и . J. Comput. Phys., (марта 2023)Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence., , , , и . CoRR, (2023)Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM., , , и . CoRR, (2019)Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network, , и . Nonlinear Processes in Geophysics, 27 (3): 373-389 (2019)Closed-form discovery of structural errors in models of chaotic systems by integrating Bayesian sparse regression and data assimilation., , и . CoRR, (2021)