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cs.LG2023
Investigation into the Training Dynamics of Learned Optimizers
Jan Sobotka, Petr Šimánek, Daniel Vašata
Optimization is an integral part of modern deep learning. Recently, the concept of learned optimizers has emerged as a way to accelerate this optimization process by replacing trad…
cs.LG2023★ 1 cited
Improving deep learning precipitation nowcasting by using prior knowledge
Matej Choma, Petr Šimánek, Jakub Bartel
Deep learning methods dominate short-term high-resolution precipitation nowcasting in terms of prediction error. However, their operational usability is limited by difficulties exp…