Signature Activation: A Sparse Signal View for Holistic Saliency

Abstract

Signature Activation introduces a sparse-signal perspective on saliency that aims to produce holistic explanations by identifying the most informative activation patterns driving model predictions.
Type
Preprint
Publication
arXiv e-prints
DOI
10.48550/arXiv.2309.11443
Jose Roberto Tello Ayala
Jose Roberto Tello Ayala
PhD Candidate in Applied Mathematics

I develop interpretable machine-learning methods for clinical decision-making, with applications in cardiovascular imaging and precision psychiatry.