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Sam Foreman
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Year
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
M Zvyagin, A Brace, K Hippe, Y Deng, B Zhang, CO Bohorquez, A Clyde, ...
The International Journal of High Performance Computing Applications 37 (6 …, 2023
412023
Deep learning hamiltonian monte carlo
S Foreman, XY Jin, JC Osborn
arXiv preprint arXiv:2105.03418, 2021
21*2021
Applications of machine learning to lattice quantum field theory
D Boyda, S Calì, S Foreman, L Funcke, DC Hackett, Y Lin, G Aarts, ...
arXiv preprint arXiv:2202.05838, 2022
202022
HMC with normalizing flows
S Foreman, T Izubuchi, L Jin, XY Jin, JC Osborn, A Tomiya
arXiv preprint arXiv:2112.01586, 2021
18*2021
Snowmass 2021 computational frontier CompF03 topical group report: Machine learning
P Shanahan, K Terao, D Whiteson
arXiv preprint arXiv:2209.07559, 2022
132022
Examples of renormalization group transformations for image sets
S Foreman, J Giedt, Y Meurice, J Unmuth-Yockey
Physical Review E 98 (5), 052129, 2018
122018
RG-inspired machine learning for lattice field theory
S Foreman, J Giedt, Y Meurice, J Unmuth-Yockey
EPJ Web of Conferences 175, 11025, 2018
112018
Lattice QCD and particle physics
AS Kronfeld
Brookhaven National Lab.(BNL), Upton, NY (United States); Argonne National …, 2022
72022
LeapfrogLayers: A trainable framework for effective topological sampling
S Foreman, XY Jin, JC Osborn
arXiv preprint arXiv:2112.01582, 2021
72021
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators
M Emani, S Foreman, V Sastry, Z Xie, S Raskar, W Arnold, R Thakur, ...
arXiv preprint arXiv:2310.04607, 2023
42023
Machine learning inspired analysis of the Ising model transition
S Foreman, J Giedt, Y Meurice, J Unmuth-Yockey
Lattice 2018, 2018
32018
Learning Better Physics: A Machine Learning Approach to Lattice Gauge Theory
SA Foreman
University of Iowa, 2019
22019
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
SL Song, B Kruft, M Zhang, C Li, S Chen, C Zhang, M Tanaka, X Wu, ...
arXiv preprint arXiv:2310.04610, 2023
12023
Large energy density in three-plate nanocapacitors due to Coulomb blockade
A Hubler, S Foreman, J Liu, L Wortsmann
Journal of Applied Physics 123 (10), 2018
12018
Thorough Characterization and Analysis of Large Transformer Model Training At-Scale
S Cheng, JL Lin, M Emani, S Raskar, S Foreman, Z Xie, V Vishwanath, ...
Proceedings of the ACM on Measurement and Analysis of Computing Systems 8 (1 …, 2024
2024
Communities Through Energy Justice Projects
MA Leung, K Cahill, R Hartman-Baker, P Kinsley, LC McInnes, ...
Journal of Computational Science 15 (1), 2024
2024
MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory
S Foreman, XY Jin, JC Osborn
arXiv preprint arXiv:2312.08936, 2023
2023
Applications of a Foundation Model Approach for Weather and Climate
T Arcomano, A Wikner, R Maulik, VR Kotamarthi, S Foreman
AGU23, 2023
2023
Protein Generation via Genome-scale Language Models with Bio-physical Scoring
G Dharuman, L Ward, H Ma, PV Setty, O Gokdemir, S Foreman, M Emani, ...
Proceedings of the SC'23 Workshops of The International Conference on High …, 2023
2023
MLMC: Machine Learning Monte Carlo
S Foreman
The International Symposium on Lattice Field Theory, 2023
2023
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