Our paper “Generative learning for forecasting the dynamics of high-dimensional complex systems” is selected as Editor’s highlight in Nature Communications

Generative learning for forecasting the dynamics of high-dimensional complex systems

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

Welcome to Rodrigo Abadia!

Rodrigo Abadia

Welcome to Rodrigo Abadia! September 15, 2024 We’re happy to have Rodrigo Abadia as a visiting student from Universidad Politecnica de Madrid! Rodrigo will work on incorporating conformal inferencewithin our learning the effective dynamics (LED) framework to quantify uncertainities in the predictions….Continue Reading Welcome to Rodrigo Abadia!