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08:30
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Registration
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09:30
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Welcome
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09:35
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On deep learning methods in neutrino physics [Title to be confirmed]
-
Davide Sgalaberna
(ETH Zurich (CH))
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10:15
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On deep learning methods in neutrino physics [Title to be confirmed]
- Dr
Saul Alonso Monsalve
(ETH Zurich)
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10:55
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Coffee break
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11:30
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On ML for Lattice QCD [Title to be confirmed]
-
William Detmold
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09:00
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Variance reduction with Normalizing Flows - Application to NNLO QCD phase space integration
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Rene Poncelet
(IFJ PAN Krakow)
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09:40
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Learning reliable amplitude surrogates
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Nina Elmer
(University of Cambridge)
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10:20
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Coffee break
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10:50
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On ME emulation [Title to be confirmed]
- Mr
Daniel Pierre Maitre
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11:30
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Quantum computation of perturbative QFTs
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Herschel Chawdhry
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09:00
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On deep learning methods in galaxy surveys [Title to be confirmed]
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Tomasz Kacprzak
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09:40
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On simulation-based inference for gravitational-wave data analysis [Title to be confirmed]
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Konstantin Leyde
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10:20
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Coffee break
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10:50
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On Detector Design with Reinforcement Learning [Title to be confirmed]
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Shah Rukh Qasim
(University of Zurich (CH))
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11:30
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On Detector Design with Differential Methods [Title to be confirmed]
-
Jan Kieseler
(KIT - Karlsruhe Institute of Technology (DE))
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12:10
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On ML for complex Langevin [Tilte to be confirmed]
- Prof.
Gert Aarts
(Swansea University)
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12:50
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Lunch
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14:15
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On optimal transport and math AI [Title to be confirmed]
- Prof.
Alessio Figalli
(ETH)
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14:55
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Data to theory: how to fuel BSM model building with anomaly detection
-
Maurizio Pierini
(CERN)
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15:35
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Coffee break
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16:05
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Particle flow reconstruction with a learnable, differentiable, efficient ML mode
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Joosep Pata
(National Institute of Chemical Physics and Biophysics (EE))
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16:45
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On Deep Full Event Reconstruction
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Julian Garcia Pardinas
(Massachusetts Inst. of Technology (US))
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12:00
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Lunch
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13:30
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On Foundation models for Fundamental Science [Title to be confirmed]
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Michael Kagan
(SLAC National Accelerator Laboratory (US))
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14:10
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On Foundation Model for hadronic jets to solve challenges in collider physics [Title to be confirmed]
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Vinicius Massami Mikuni
(Lawrence Berkeley National Lab. (US))
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14:50
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AI for Discovery
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Gregor Kasieczka
(Hamburg University (DE))
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15:35
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Coffee break
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16:05
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On NNPDFs [Title to be confirmed]
-
Luigi Del Debbio
(The University of Edinburgh (GB))
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16:45
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On ML Unfolding for precision physics [Title to be confirmed]
-
Kyle Cormier
(CERN)
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18:00
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Dinner
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