no code implementations • 16 Dec 2022 • Jeyhun Rustamov, Luisa Fennert, Nico Hoffmann
The results showed that LiFe-net trained with time stability loss outperforms the other two models and can estimate the temperature evolution on unseen data with a relative error of 2. 77 % on average.