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15:00
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News
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Julian Garcia Pardinas
(CERN)
Anja Butter
(Centre National de la Recherche Scientifique (FR))
Fabio Catalano
(CERN)
Lorenzo Moneta
(CERN)
Michael Kagan
(SLAC National Accelerator Laboratory (US)) Dr
Pietro Vischia
(Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))
Simon Akar
(University of Cincinnati (US))
Stefano Carrazza
(CERN)
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15:05
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Unfolding and machine learning: introduction
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Bogdan Malaescu
(LPNHE-Paris CNRS/IN2P3 (FR))
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15:35
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--- Question time ---
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15:45
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Biases and pitfalls in unfolding
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Igor Volobouev
(Texas Tech University (US))
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16:15
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--- Discussion ---
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16:25
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ν2-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
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Matthew Leigh
(University of Geneva)
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16:40
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--- Discussion ---
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16:45
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ML Unfolding based on conditional Invertible Neural Networks using Iterative Training
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Mathias Josef Backes
(Heidelberg University (DE))
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17:00
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--- Discussion ---
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