Recent Talks

2023

\hspace{2pt} Scaling LLMs for Science and Ongoing Collaborations @ Data-Intensive Computing and AI/ML at Scale (08/2023)

\hspace{2pt} MLMC: Machine Learning Monte Carlo @ Lattice 2023 (07/2023)

\hspace{2pt} Generative Modeling and Efficient Sampling @ PASC23 (07/2023)

\hspace{2pt} Efficient Sampling for Lattice Gauge Theory @ Deep Fridays @ U. Bologna (04/2023)

2022

\hspace{2pt} Large Scale Training @ Introduction to AI4Science on Supercomputers (ALCF) (11/2022)

\hspace{2pt} Hyperparameter Management @ ALCF Simulation, Data, and Learning Workshop (10/2022)

\hspace{2pt} Statistical Learning @ ATPESC 2022 (08/2022)

• 📕 accompanying notebook

\hspace{2pt} Scientific Data Science: An Emerging Symbiosis @ ANL (05/2022)

\hspace{2pt} Machine Learning in HEP @ UNC Greensboro (03/2022)

• Machine Learning in HEP, at UNC Greensboro, March 2022

Older Slides

Older slides (pre-2022) can be found here

Citation

BibTeX citation:

@online{foreman2023,
  author = {Foreman, Sam},
  title = {Personal {Website}},
  date = {2023-09-19},
  url = {https://saforem2.github.io},
  langid = {en}
}

For attribution, please cite this work as:

Foreman, Sam. 2023. “Personal Website.” September 19, 2023. https://saforem2.github.io.