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Andrew Dienstfrey, Zydrunas Gimbutas, Joe Chalfoun, Adele Peskin, Kalina Jordanova, Kathryn Keenan, Stephen Ogier
Low-field magnetic resonance imaging offers the promise to significantly increase access to in vivo soft tissue imaging. The technology is both portable and low
This report summarizes recent technical work of the Applied and Computational Mathematics Division of the Information Technology Laboratory at the National
Bakhrom Oripov, Andrew Dienstfrey, Adam McCaughan, Sonia Buckley
In this work, we explore the capabilities of Multiplexed Gradient Descent (MGD), a scalable and efficient perturbative zeroth-order training method for
Adam McCaughan
,
Sonia Buckley
and
Andrew Dienstfrey
Parameter multiplexed gradient descent (PMGD) is a machine learning training method designed to easily train emergent non-volatile memory and neuromorphic hardware platforms.