Learning to simulate precipitation with Deep Neural Networks (
slides). Talk presented at the 6th ENES HPC workshop. We implemented encoder-decoder networks, such as those used for image translation in Computer Vision, for the task of learning precipitation fields from other predictor variables. The transfer function aims to capture information from predictor variables to infer precipitation, a variable highly dependent on parameterizations schemes.