96 citations · 101 across the 4 of their papers we have counts for
4 papers
Trust-Aware Multimodal Data Fusion for Yield Estimation: A Case Study of the 2020 Beirut Explosion
Lekha Patel, Craig Ulmer, Stephen J. Verzi +4
The estimation of explosive yield from heterogeneous observational data presents fundamental challenges in inverse problems, particularly when combining traditional physical measur…
Efficient machine-learning surrogates for large-scale geological carbon and energy storage
Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon
Geological carbon and energy storage are pivotal for achieving net-zero carbon emissions and addressing climate change. However, they face uncertainties due to geological factors a…
Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security
Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram +6
Despite the potential of Machine learning (ML) to learn the behavior of malware, detect novel malware samples, and significantly improve information security (InfoSec) we see few,…
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication
William Severa, Craig M. Vineyard, Ryan Dellana +2
This paper presents a new technique for training networks for low-precision communication. Targeting minimal communication between nodes not only enables the use of emerging spikin…