Recent Talks
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Large Scale Training, at Introduction to AI-driven Science on Supercomputers: A Student Training Series, November 2022
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Hyperparameter Management, at 2022 ALCF Simulation, Data, and Learning Workshop, October 2022
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Statistical Learning, at ATPESC 2022, August 2022 📕 accompanying notebook
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Scientific Data Science: An Emerging Symbiosis, at Argonne National Laboratory, May 2022
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Machine Learning in HEP, at UNC Greensboro, March 2022
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Accelerated Sampling Methods for Lattice Gauge Theory, at BNL-HET & RBRC Joint Workshop “DWQ @ 25”, Dec 2021
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Training Topological Samplers for Lattice Gauge Theory, ML4HEP, on and off the Lattice @ ECT* Trento, Sep 2021
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l2hmc-qcd at the MIT Lattice Group Seminar, 2021
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Deep Learning HMC for Improved Gauge Generation to the Machine Learning Techniques in Lattice QCD Workshop, 2021
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Machine Learning for Lattice QCD at the University of Iowa, 2020
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Machine learning inspired analysis of the Ising model transition to Lattice, 2018
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Machine Learning Analysis of Ising Worms at Brookhaven National Laboratory, 2017