Contributor
Sam Foreman

Biography
I'm a computational scientist with a background in high energy physics at the ALCF.
I'm generally interested in the application of machine learning to computational problems in physics, particularly within the context of high performance computing.
My current research focuses on using deep generative modeling to help build better sampling algorithms for simulations in lattice gauge theory.
I'm generally interested in the application of machine learning to computational problems in physics, particularly within the context of high performance computing.
My current research focuses on using deep generative modeling to help build better sampling algorithms for simulations in lattice gauge theory.
Presentations
Workshop
Applications
Distributed Computing
Large Scale Systems
Programming Frameworks and System Software
Runtime Systems
W
Workshop
Artificial Intelligence/Machine Learning
W
Workshop
Applications
Distributed Computing
Large Scale Systems
Programming Frameworks and System Software
Runtime Systems
W
Chair of Sessions
Workshop
Applications
Distributed Computing
Large Scale Systems
Programming Frameworks and System Software
Runtime Systems
W
