Recent Talks
Generative Modeling and Efficient Sampling @ PASC23 (06/2023)
- Generative Modeling and Efficient Sampling, at PASC23, July 2023
Generative Modeling and Efficient Sampling @ U. Bologna (04/2023)
- Efficient Sampling for Lattice Gauge Theory, at Deep Fridays @ U. Bologna, April 2023
Large Scale Training @ ALCF / AI4Science (11/2022)
Hyperparameter Management @ ALCF / SDL (10/2022)
- Hyperparameter Management, at 2022 ALCF Simulation, Data, and Learning Workshop, October 2022
Statistical Learning @ ATEPSC22 (08/2022)
- Statistical Learning, at ATPESC 2022, August 2022 📕 accompanying notebook
Scientific Data Science @ ALCF (05/2022)
- Scientific Data Science: An Emerging Symbiosis, at Argonne National Laboratory, May 2022
Machine Learning in HEP @ UNC Greensboro (03/2022)
- Machine Learning in HEP, at UNC Greensboro, March 2022
Accelerated Sampling Methods for Lattice Gauge Theory @ BNL / DWQ @ 25 (12/2021)
Training Topological Samplers for Lattice Gauge Theory @ ECT* Trento (09/2021)
- Training Topological Samplers for Lattice Gauge Theory, ML4HEP, on and off the Lattice @ ECT* Trento, Sep 2021
l2hmc-qcd @ MIT Lattice Group Seminar
- l2hmc-qcd at the MIT Lattice Group Seminar, 2021
Deep Learning HMC for Improved Gauge Generation @ ML in LQCD Workshop (2021)
Machine Learning for Lattice QCD (2020)
- Machine Learning for Lattice QCD at the University of Iowa, 2020
Machine Learning for Lattice QCD (2018)
Machine Learning Analysis of Ising Worms (2017)
- Machine Learning Analysis of Ising Worms at Brookhaven National Laboratory, 2017