no code implementations • 10 Mar 2023 • Gilhan Kim, Hojun Lee, Junghyo Jo, Yongjoo Baek
In this study, we propose that unsupervised learning generally exhibits a two-component tradeoff of the GE, namely the model error and the data error -- using a more complex model reduces the model error at the cost of the data error, with the data error playing a more significant role for a smaller training dataset.
no code implementations • 6 Mar 2023 • Euijoon Kwon, Yongjoo Baek
Recent years have seen a surge of interest in the algorithmic estimation of stochastic entropy production (EP) from trajectory data via machine learning.
