🎙️ Talks

Sam Foreman
foremans@anl.gov

ALCF

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📆 2025

AuroraGPT: Foundation Models for Science @ Foundation Models for the Electric Grid [02/2025]

📆 2024

Parallel Training Methods @ AI-for-Science on Supercomputers [11/2024]

AuroraGPT @ 2024 ALCF Hands-On HPC Workshop [10/2024]

Machine Learning and Foundation Models at Scale @ 2024 ALCF Hands-On HPC Workshop [10/2024]

AuroraGPT @ HPC User Forum, 2024 [09/2024]

Training LLMs at Scale @ ATPESC, 2024 [08/2024]

LLMs on Polaris @ Center for Scientific Foundation Models, Summer School 24’ [07/2024]

Parallel Training Techniques @ AI-4-Science Training Series [03/2024]

LLMs from Scratch @ LLM Tutorial Workshop [02/2024]

📆 2023

Creating Small(-ish) LLMs @ LLM Tutorial Workshop (1) [11/2023]

Exascale Science on Aurora @ Intel oneAPI Workshop @ UIC [10/2023]

LLM Lunch Talk @ ALCF Hands On HPC Workshop [10/2023]

Scaling LLMs for Science @ Data-Intensive Computing + AI/ML at Scale [08/2023]

MLMC: Machine Learning Monte Carlo @ Lattice 2023 [07/2023]

Generative Modeling and Efficient Sampling @ PASC23 [07/2023]

Efficient Sampling for LGT @ Deep Fridays @ U. Bologna [04/2023]

📆 2022

Large Scale Training @ AI4Science on Supercomputers (ALCF) [11/2022]

Hyperparameter Management @ ALCF SDL Workshop [10/2022]

Statistical Learning @ ATPESC 2022 [08/2022]

Scientific Data Science: An Emerging Symbiosis @ ANL (05/2022)

Machine Learning in HEP @ UNC Greensboro [03/2022]

📆 2021

Accelerated Sampling Methods for LGT, @ DWQ @ 25 [BNL] [12/2021]

Training Topological Samplers for LGT @ ML4HEP, ECT* Trento [09/2021]

l2hmc-qcd @ MIT Lattice Group Seminar [2021]

l2hmc-qcd at the MIT Lattice Group Seminar, 2021

Deep Learning HMC for Improved Gauge Generation @ ML in LQCD Workshop [2021]

📆 2020

Machine Learning for Lattice QCD @ U. Iowa [2020]