2019
Learning Stochastic Representations of Geophysical Dynamics
ICASSP 2019accepted
In the last years, Neural Networks have enriched the state-of-the-art in probabilistic modeling. This is principally due to the advances in deep learning which allow a better understanding of complex systems. However, the stochastic representation of spatio-temporal fields is still an open challenge…