Web: http://arxiv.org/abs/2201.10154

Jan. 26, 2022, 2:11 a.m. | Jiang Zhang

cs.LG updates on arXiv.org arxiv.org

The classic studies of causal emergence have revealed that in some Markovian
dynamical systems, far stronger causal connections can be found on the
higher-level descriptions than the lower-level of the same systems if we
coarse-grain the system states in an appropriate way. However, identifying this
emergent causality from the data is still a hard problem that has not been
solved because the correct coarse-graining strategy can not be found easily.
This paper proposes a general machine learning framework called Neural …

arxiv information neural

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