Web: http://arxiv.org/abs/2201.12240

Jan. 31, 2022, 2:11 a.m. | Avik Pal, Alan Edelman, Christopher Rackauckas

cs.LG updates on arXiv.org arxiv.org

Implicit deep learning architectures, like Neural ODEs and Deep Equilibrium
Models (DEQs), separate the definition of a layer from the description of its
solution process. While implicit layers allow features such as depth to adapt
to new scenarios and inputs automatically, this adaptivity makes its
computational expense challenging to predict. Numerous authors have noted that
implicit layer techniques can be more computationally intensive than explicit
layer methods. In this manuscript, we address the question: is there a way to
simultaneously …

arxiv deep deep learning learning neural time

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