9:00 AM
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--- Registration ---
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9:50 AM
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Welcome
-
Marina Krstic Marinkovic
(ETH Zurich)
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10:00 AM
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Optimal transport for anomaly detection at LHC
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Jessica N. Howard
(Kavli Institute for Theoretical Physics)
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10:50 AM
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--- Coffee break ---
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11:30 AM
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Machine learning RG-improved SU(3) gauge actions
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Urs Wenger
(University of Bern)
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10:00 AM
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Monte Carlo estimates of flow fields for sampling and noise problems
-
Gurtej Kanwar
(University of Edinburgh)
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10:35 AM
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--- Coffee break ---
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11:20 AM
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Applications of flow models to the generation of correlated lattice QCD ensembles
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Fernando Romero López
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10:00 AM
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Progress in learning contour deformations for observables
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William Detmold
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10:50 AM
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--- Coffee break ---
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11:30 AM
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Diffusion models for lattice field theory
- Prof.
Gert Aarts
(Swansea University)
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10:00 AM
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Random Matrix Theory for a nano-GPT
-
Ouraman Hajizadeh
(Independent Researcher)
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10:35 AM
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Optimized Multi-Grid Solvers: Power, Precision, and (Matrix) Products
-
Evan Weinberg
(NVIDIA Corporation)
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11:25 AM
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--- Coffee break ---
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11:55 AM
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Recent Performance Using MILC and QUDA on Various GPU Systems
-
Steven Gottlieb
|
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12:20 PM
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--- Lunch ---
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2:00 PM
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Stochastic differentiation of Monte Carlo simulations for parameter inference in quarkonium suppression
-
Tom Magorsch
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2:35 PM
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Optimizing static quark states with Neural Network parametrized general Wilson loops
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Julian Mayer-Steudte
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3:10 PM
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--- Coffee break ---
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3:40 PM
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Protecting continuum symmetries on the lattice - exact prior information for reinforcement learning
- Prof.
Alexander Rothkopf
(Korea University)
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4:30 PM
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Discussion
-
Nora brambilla
|
5:30 PM
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--- Welcome Apéro ---
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12:10 PM
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--- Lunch ---
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1:50 PM
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Applications of Stochastic Normalizing Flows to gauge theories and defects
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Elia Cellini
(University of Turin / INFN Turin)
|
2:25 PM
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Application of generative models on SU(3) gauge theories in 4 dimension
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Javad Komijani
(ETH Zurich)
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3:00 PM
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--- Coffee break ---
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3:40 PM
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Discussion
-
Marina Krstic Marinkovic
(ETH Zurich) Prof.
Sinead Ryan
(Trinity College Dublin)
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4:40 PM
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Score-Based Diffusion Models for Lattice Gauge Theory
-
Octavio Vega
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7:00 PM
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--- Workshop Dinner ---
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12:20 PM
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--- Lunch ---
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1:50 PM
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Machine Learning Low-D Systems
- Prof.
Thomas Luu
(Forshungszentrum Jülich)
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2:40 PM
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Simulations of machine-learned RG-improved SU(3) gauge action
-
Kieran Holland
|
3:15 PM
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--- Coffee break ---
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3:45 PM
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Efficient Multilevel Sampling of Lattice Field Theory Near Criticality
-
Ankur Singha
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4:20 PM
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Stochastic automatic differentiation for Lattice QCD
-
Alberto Ramos Martinez
(Univ. of Valencia and CSIC (ES))
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5:10 PM
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Discussion
-
Andreas Kronfeld
(Fermi National Accelerator Lab. (US))
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12:45 PM
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Closing
-
Marina Krstic Marinkovic
(ETH Zurich)
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1:00 PM
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--- Lunch ---
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