Cosimo Rusconi (MPQ):I will present the paper PRL 120, 024102 (2018) (see also article cover at QuantaMagazine) where the authors implement a recurrent neural network (RNN) which is able to predict the dynamics of a classical chaotic system several Lyapunov time in the future after training on one input solution.
Quantum Information & Computing Meeting: Forecasting Chaotic Dynamics with Machine Learning
