no code implementations • 3 Sep 2023 • Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Ben Nebgen, Kim Rasmussen, Boian Alexandrov
This study underscores the potential of integrating tensorization and low-rank decomposition as a robust defense against adversarial attacks in machine learning.
3 code implementations • 28 Jan 2018 • Justin S. Smith, Ben Nebgen, Nicholas Lubbers, Olexandr Isayev, Adrian E. Roitberg
In this work, we present a fully automated approach for the generation of datasets with the intent of training universal ML potentials.