29 citations · 29 across the 2 of their papers we have counts for
5 papers
Enabling particle applications for exascale computing platforms
Susan M Mniszewski, James Belak, Jean-Luc Fattebert +21
The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing. Within ECP, the Co-design Center for Particle Applic…
Performance Optimizations of Recursive Electronic Structure Solvers targeting Multi-Core Architectures (LA-UR-20-26665)
Adetokunbo A. Adedoyin, Christian F. A. Negre, Jamaludin Mohd-Yusof +6
As we rapidly approach the frontiers of ultra large computing resources, software optimization is becoming of paramount interest to scientific application developers interested in…
Combating Label Noise in Deep Learning Using Abstention
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff Bilmes +2
We introduce a novel method to combat label noise when training deep neural networks for classification. We propose a loss function that permits abstention during training thereby…
Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness
Nicholas Lubbers, David C. Bolton, Jamaludin Mohd-Yusof +3
Machine learning regression can predict macroscopic fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions.…
Graph-based linear scaling electronic structure theory
Anders M. N. Niklasson, Susan M. Mniszewski, Christian F. A. Negre +8
We show how graph theory can be combined with quantum theory to calculate the electronic structure of large complex systems. The graph formalism is general and applicable to a broa…