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09:00
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--- Registration ---
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09:50
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Welcome
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Marina Krstic Marinkovic
(ETH Zurich)
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10:00
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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
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--- Coffee break ---
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11:30
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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
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Monte Carlo estimates of flow fields for sampling and noise problems
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Gurtej Kanwar
(University of Edinburgh)
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10:35
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--- Coffee break ---
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11:20
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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
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Progress in learning contour deformations for observables
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William Detmold
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10:50
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--- Coffee break ---
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11:30
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Diffusion models for lattice field theory
- Prof.
Gert Aarts
(Swansea University)
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10:00
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Random Matrix Theory for a nano-GPT
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Ouraman Hajizadeh
(Independent Researcher)
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10:35
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Optimized Multi-Grid Solvers: Power, Precision, and (Matrix) Products
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Evan Weinberg
(NVIDIA Corporation)
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11:25
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--- Coffee break ---
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11:55
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Recent Performance Using MILC and QUDA on Various GPU Systems
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Steven Gottlieb
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12:20
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--- Lunch ---
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14:00
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Stochastic differentiation of Monte Carlo simulations for parameter inference in quarkonium suppression
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Tom Magorsch
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14:35
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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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15:10
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--- Coffee break ---
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15:40
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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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16:30
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Discussion
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Nora brambilla
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17:30
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--- Welcome Apéro ---
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12:10
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--- Lunch ---
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13:50
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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)
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14:25
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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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15:00
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--- Coffee break ---
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15:40
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Score-Based Diffusion Models for Lattice Gauge Theory
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Octavio Vega
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16:15
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Discussion
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Marina Krstic Marinkovic
(ETH Zurich) Prof.
Sinead Ryan
(Trinity College Dublin)
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19:00
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--- Workshop Dinner ---
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12:20
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--- Lunch ---
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13:50
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Machine Learning Low-D Systems
- Prof.
Thomas Luu
(Forshungszentrum Jülich)
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14:40
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Simulations of machine-learned RG-improved SU(3) gauge action
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Kieran Holland
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15:15
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--- Coffee break ---
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15:45
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Efficient Multilevel Sampling of Lattice Field Theory Near Criticality
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Ankur Singha
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16:20
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Stochastic automatic differentiation for Lattice QCD
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Alberto Ramos Martinez
(Univ. of Valencia and CSIC (ES))
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17:10
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Discussion
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Andreas Kronfeld
(Fermi National Accelerator Lab. (US))
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12:45
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Closing
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Marina Krstic Marinkovic
(ETH Zurich)
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13:00
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--- Lunch ---
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