Epistatic-degree-regularized neural networks for sequence-based prediction

This paper explores novel approaches to regularizing neural networks for sequence-based prediction tasks, with a focus on understanding and controlling epistatic interactions.

Authors: Renzo Soatto, Clara Fannjiang, Jennifer Listgarten

To request access to this paper, please contact:

soatto@mit.edu