Our paper “Generative learning for forecasting the dynamics of high-dimensional complex systems” is selected as Editor’s highlight in Nature Communications November 1, 2024 We introduce generative models for accelerating simulations of high-dimensional systems through learning and evolving their effective dynamics. In the proposed Generative Learning of Effective Dynamics (G-LED), instances of high dimensional data are…Continue Reading Our paper “Generative learning for forecasting the dynamics of high-dimensional complex systems” is selected as Editor’s highlight in Nature Communications
Our paper “Generative learning for forecasting the dynamics of high-dimensional complex systems” is selected as Editor’s highlight in Nature Communications
