Name: Machine Learning Techniques in Lattice QCD
Start: 2021-05-24T14:00:00+02:00
End: 2021-05-28T17:30:00+02:00
Location: Mainz Institute for Theoretical Physics, Johannes Gutenberg University

Machine Learning Techniques in Lattice QCD

from Monday, May 24, 2021 (2:00 PM) to Friday, May 28, 2021 (5:30 PM)

Monday, May 24, 2021

3:25 PM

3:25 PM - 3:30 PM
3:30 PM (Traditional) Computing Challenges in Lattice Field Theory - Kate Clark (NVIDIA)
(Traditional) Computing Challenges in Lattice Field Theory
- Kate Clark (NVIDIA)
3:30 PM - 4:15 PM
4:15 PM Towards Flow-based MCMC for Lattice Gauge Theory with Fermions - Danilo Rezende (Google)
Towards Flow-based MCMC for Lattice Gauge Theory with Fermions
- Danilo Rezende (Google)
4:15 PM - 5:00 PM
5:00 PM Pan Kessel (TU-Berlin)
Pan Kessel (TU-Berlin)
5:00 PM - 5:30 PM
Tuesday, May 25, 2021
3:30 PM Prediction of Lattice QCD Observables Using Machine Learning - Boram Yoon (LANL)
Prediction of Lattice QCD Observables Using Machine Learning
- Boram Yoon (LANL)
3:30 PM - 4:10 PM
4:10 PM Machine Learning for Thermodynamic Observables in Lattice Field Theories - Lena Funcke (Perimeter Institute)
Machine Learning for Thermodynamic Observables in Lattice Field Theories
- Lena Funcke (Perimeter Institute)
4:10 PM - 4:50 PM
4:50 PM Gert Aarts (Swansea)
Gert Aarts (Swansea)
4:50 PM - 5:30 PM
Wednesday, May 26, 2021
3:30 PM QCD and Jets trough the Lens of Machine Learning - Jesse Thaler (MIT)
QCD and Jets trough the Lens of Machine Learning
- Jesse Thaler (MIT)
3:30 PM - 4:10 PM
4:10 PM Quantum Many-body Physics Simulation via Neural Network Representation - Di Luo (Illinois)
Quantum Many-body Physics Simulation via Neural Network Representation
- Di Luo (Illinois)
4:10 PM - 4:50 PM
4:50 PM Harold Erbin (MIT)
Harold Erbin (MIT)
4:50 PM - 5:30 PM
Thursday, May 27, 2021
3:30 PM Flow-based MCMC for SU(N) Lattice Gauge Theory - Gurtej Kanwar (MIT)
Flow-based MCMC for SU(N) Lattice Gauge Theory
- Gurtej Kanwar (MIT)
3:30 PM - 4:10 PM
4:10 PM Deep Learning HMC for Improved Gauge Generation - Sam Foreman (ANL)
Deep Learning HMC for Improved Gauge Generation
- Sam Foreman (ANL)
4:10 PM - 4:50 PM
4:50 PM Tanmoy Bhattacharya (LANL)
Tanmoy Bhattacharya (LANL)
4:50 PM - 5:30 PM
Friday, May 28, 2021
3:30 PM Gauge Covariant Neural Network for 4 Dimensional Non-abelian Gauge Theory - Akio Tomiya (RIKEN BNL)
Gauge Covariant Neural Network for 4 Dimensional Non-abelian Gauge Theory
- Akio Tomiya (RIKEN BNL)
3:30 PM - 4:10 PM
4:10 PM Quantum Field-theoretic Machine Learning - Dimitrios Bachtis (Swansea)
Quantum Field-theoretic Machine Learning
- Dimitrios Bachtis (Swansea)
4:10 PM - 4:50 PM
4:50 PM Srijit Paul (Mainz)
Srijit Paul (Mainz)
4:50 PM - 5:30 PM

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