Efficient machine-learning surrogates for large-scale geological carbon and energy storage

no code implementations • 11 Oct 2023 • Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon

Geological carbon and energy storage are pivotal for achieving net-zero carbon emissions and addressing climate change.

Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security

no code implementations • 4 May 2020 • Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Ramyaa Ramyaa, Evelyn Domschot, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer

Specifically, current datasets and representations used by ML are not suitable for learning the behaviors of an executable and differ significantly from those used by the InfoSec community.

BIG-bench Machine Learning

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication

no code implementations • 26 Oct 2018 • William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone

We present a method for training deep spiking neural networks using an iterative modification of the backpropagation optimization algorithm.

General Classification Image Classification +1