Recent Talks

Statistical Learning, at ATPESC 2022, August 2022 ðŸ“• accompanying notebook

Scientific Data Science: An Emerging Symbiosis, at Argonne National Laboratory, May 2022

Machine Learning in HEP, at UNC Greensboro, March 2022

Accelerated Sampling Methods for Lattice Gauge Theory, at BNLHET & RBRC Joint Workshop “DWQ @ 25”, Dec 2021

Training Topological Samplers for Lattice Gauge Theory, ML4HEP, on and off the Lattice @ ECT* Trento, Sep 2021

l2hmcqcd 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

Machine learning inspired analysis of the Ising model transition to Lattice, 2018

Machine Learning Analysis of Ising Worms at Brookhaven National Laboratory, 2017