Recent Talks

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
Deep Learning HMC for Improved Gauge Generation to the Machine Learning Techniques in Lattice QCD Workshop, 2021
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
Machine Learning Analysis of Ising Worms at Brookhaven National Laboratory, 2017