IML Machine Learning Working Group: unfolding
Thursday 27 July 2023 -
15:00
Monday 24 July 2023
Tuesday 25 July 2023
Wednesday 26 July 2023
Thursday 27 July 2023
15:00
News
-
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)
)
Pietro Vischia
(
Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA)
)
Simon Akar
(
University of Cincinnati (US)
)
Stefano Carrazza
(
CERN
)
News
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)
)
Pietro Vischia
(
Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA)
)
Simon Akar
(
University of Cincinnati (US)
)
Stefano Carrazza
(
CERN
)
15:00 - 15:05
15:05
Unfolding and machine learning: introduction
-
Bogdan Malaescu
(
LPNHE-Paris CNRS/IN2P3 (FR)
)
Unfolding and machine learning: introduction
Bogdan Malaescu
(
LPNHE-Paris CNRS/IN2P3 (FR)
)
15:05 - 15:35
15:35
Question time
Question time
15:35 - 15:45
15:45
Biases and pitfalls in unfolding
-
Igor Volobouev
(
Texas Tech University (US)
)
Biases and pitfalls in unfolding
Igor Volobouev
(
Texas Tech University (US)
)
15:45 - 16:15
16:15
Discussion
Discussion
16:15 - 16:25
16:25
ν2-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
-
Matthew Leigh
(
University of Geneva
)
ν2-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
Matthew Leigh
(
University of Geneva
)
16:25 - 16:40
https://arxiv.org/abs/2307.02405 Available time may be extended depending on the number of additional contributions.
16:40
Discussion
Discussion
16:40 - 16:45
16:45
ML Unfolding based on conditional Invertible Neural Networks using Iterative Training
-
Mathias Josef Backes
(
Heidelberg University (DE)
)
ML Unfolding based on conditional Invertible Neural Networks using Iterative Training
Mathias Josef Backes
(
Heidelberg University (DE)
)
16:45 - 17:00
https://arxiv.org/abs/2212.08674
17:00
Discussion
Discussion
17:00 - 17:05