Machine Learning Techniques in Lattice QCD
from
Monday 24 May 2021 (14:00)
to
Friday 28 May 2021 (17:30)
Monday 24 May 2021
15:25
15:25 - 15:30
15:30
(Traditional) Computing Challenges in Lattice Field Theory
-
Kate Clark (NVIDIA)
(Traditional) Computing Challenges in Lattice Field Theory
Kate Clark (NVIDIA)
15:30 - 16:15
16:15
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)
16:15 - 17:00
17:00
Pan Kessel (TU-Berlin)
Pan Kessel (TU-Berlin)
17:00 - 17:30
Tuesday 25 May 2021
15:30
Prediction of Lattice QCD Observables Using Machine Learning
-
Boram Yoon (LANL)
Prediction of Lattice QCD Observables Using Machine Learning
Boram Yoon (LANL)
15:30 - 16:10
16:10
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)
16:10 - 16:50
16:50
Gert Aarts (Swansea)
Gert Aarts (Swansea)
16:50 - 17:30
Wednesday 26 May 2021
15:30
QCD and Jets trough the Lens of Machine Learning
-
Jesse Thaler (MIT)
QCD and Jets trough the Lens of Machine Learning
Jesse Thaler (MIT)
15:30 - 16:10
16:10
Quantum Many-body Physics Simulation via Neural Network Representation
-
Di Luo (Illinois)
Quantum Many-body Physics Simulation via Neural Network Representation
Di Luo (Illinois)
16:10 - 16:50
16:50
Harold Erbin (MIT)
Harold Erbin (MIT)
16:50 - 17:30
Thursday 27 May 2021
15:30
Flow-based MCMC for SU(N) Lattice Gauge Theory
-
Gurtej Kanwar (MIT)
Flow-based MCMC for SU(N) Lattice Gauge Theory
Gurtej Kanwar (MIT)
15:30 - 16:10
16:10
Deep Learning HMC for Improved Gauge Generation
-
Sam Foreman (ANL)
Deep Learning HMC for Improved Gauge Generation
Sam Foreman (ANL)
16:10 - 16:50
16:50
Tanmoy Bhattacharya (LANL)
Tanmoy Bhattacharya (LANL)
16:50 - 17:30
Friday 28 May 2021
15:30
Gauge Covariant Neural Network for 4 Dimensional Non-abelian Gauge Theory
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Akio Tomiya (RIKEN BNL)
Gauge Covariant Neural Network for 4 Dimensional Non-abelian Gauge Theory
Akio Tomiya (RIKEN BNL)
15:30 - 16:10
16:10
Quantum Field-theoretic Machine Learning
-
Dimitrios Bachtis (Swansea)
Quantum Field-theoretic Machine Learning
Dimitrios Bachtis (Swansea)
16:10 - 16:50
16:50
Srijit Paul (Mainz)
Srijit Paul (Mainz)
16:50 - 17:30