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08:30
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--- Registration ---
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09:00
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Welcome
(until 09:15)
(Seminar room 1 + 2)
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09:00
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Welcome and Organisatorical Remarks
- Dr
Claudius Krause
(HEPHY Vienna (ÖAW))
(Seminar room 1 + 2)
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09:05
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Welcome to HEPHY
-
Christoph Schwanda
Christoph Schwanda
(Austrian Academy of Sciences (AT))
(Seminar room 1 + 2)
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09:15
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Morning Session
(until 10:00)
(Seminar room 1 + 2)
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09:15
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Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results
-
Wolfgang Waltenberger
(Austrian Academy of Sciences (AT))
(Seminar room 1 + 2)
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10:00
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--- Coffee Break ---
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10:30
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Morning Session
(until 12:00)
(Seminar room 1 + 2)
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10:30
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Optimal operation of cryogenic calorimeters through deep reinforcement learning
-
Felix Wagner
(HEPHY Vienna)
Felix Wagner
(Vienna University of Technology)
(Seminar room 1 + 2)
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11:15
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Machine learning for modern radio surveys
-
Lara Alegre
(Heildelberg University)
(Seminar room 1 + 2)
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09:00
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Morning Session
(until 10:00)
(Seminar room 1 + 2)
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09:15
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Tree boosting for learning EFT parameters
-
Dennis Schwarz
(Austrian Academy of Sciences (AT))
(Seminar room 1 + 2)
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10:00
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--- Coffee Break ---
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10:30
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Morning Session
(until 12:00)
(Seminar room 1 + 2)
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10:30
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Generative Modelling of Calorimeter Showers and Particle Jets
-
Thorsten Lars Henrik Buss
(Universität Hamburg)
(Seminar room 1 + 2)
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11:15
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ML applications in searches for long-lived particles at CMS
-
Lisa Benato
(Hamburg University (DE))
(Seminar room 1 + 2)
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09:00
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Morning Session
(until 10:00)
(Seminar room 1 + 2)
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09:00
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High Multiplicity with JetGPT - LHC Event Generation with Autoregressive Transformers
-
Jonas Simon Spinner
(Seminar room 1 + 2)
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10:00
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--- Coffee Break ---
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10:30
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Morning Session
(until 13:30)
(Seminar room 1 + 2)
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10:30
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(Direct) Diffusion for LHC Event Generation
-
Sofia Palacios Schweitzer
(ITP, University Heidelberg)
(Seminar room 1 + 2)
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11:15
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Precision-Machine Learning for the Matrix Element Method
-
Nathan Huetsch
(Heidelberg University, ITP Heidelberg)
(Seminar room 1 + 2)
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14:00
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Afternoon Session
(until 15:30)
(Seminar room 1 + 2)
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14:00
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A Survey of Machine Learning Methods for Anomaly Detection
-
Radha Mastandrea
(University of California, Berkeley)
Radha Mastandrea
(LBNL)
(Seminar room 1 + 2)
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14:45
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Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection
-
Michael Kramer
(Rheinisch Westfaelische Tech. Hoch. (DE))
(Seminar room 1 + 2)
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15:30
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--- Coffee Break ---
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16:00
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Afternoon Session
(until 17:30)
(Seminar room 1 + 2)
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16:00
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Semi-visible jets, energy-based models, and self-supervision
-
Luigi Favaro
(Seminar room 1 + 2)
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16:45
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Hunting for di-Higgs in hadronic final states: showcasing Machine Learning for modelling of hadronic backgrounds and elucidating rare signals
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Nicole Michelle Hartman
(TUM (DE))
(Seminar room 1 + 2)
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18:00
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--- Welcome Reception ---
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14:00
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Afternoon Session
(until 15:30)
(Seminar room 1 + 2)
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14:00
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The MadNIS Reloaded
-
Theo Heimel
(Universität Heidelberg)
Theo Heimel
(Heidelberg University)
(Seminar room 1 + 2)
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14:45
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Machine learning methods & Ultra-High Energy Cosmic Rays
-
Blaz Bortolato
(Institute Josef Stefan)
(Seminar room 1 + 2)
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15:30
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--- Coffee Break ---
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16:00
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Afternoon Session
(until 17:30)
(Seminar room 1 + 2)
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16:00
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Flow Unfolding for CP-Observable Reconstruction
-
Jona Ackerschott
(Universite de Geneve (CH))
(Seminar room 1 + 2)
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19:00
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--- Dinner ---
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13:30
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Discussion
(until 15:00)
(Seminar room 1 + 2)
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