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2:00 PM
Data-centric AI
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Romain Egele
(Université Paris Saclay / Argonne National Laboratory)
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2:30 PM
Application of Self-organizing maps in high energy physics
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Kai Habermann
(University of Bonn)
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2:45 PM
Super-resolution for calorimetry
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Francesco Di Bello
(INFN and U. of Rome)
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3:00 PM
Inducing selective posterior-collapse in variational autoencoders by modelling the latent space as a mixture of normal-gamma distributions
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Emma JOUFFROY
(CEA & IMS)
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3:15 PM
Deep Multi-task Mining Calabi-Yau Manifolds
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Riccardo Finotello
(CEA LIST, CEA ISAS)
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4:00 PM
Scientific inference with imperfect theories: examples with machine learning and neurosciences
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Gael Varoquaux
(INRIA)
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4:30 PM
Study of model construction and the learning for hierarchical models
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Masahiko Saito
(International Center for Elementary Particle Physics, University of Tokyo)
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4:45 PM
Uncertainty Aware Learning for High Energy Physics With A Cautionary Tale
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Aishik Ghosh
(UC Irvine)
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5:00 PM
Graph Neural Networks for track reconstruction at HL-LHC
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Alexis VALLIER
(Laboratoire des 2 Infinis - Toulouse, CNRS / Univ. Paul Sabatier (FR))
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5:15 PM
Particle Tracking with Graph Neural Networks
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Gage DeZoort
(Princeton University)
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5:30 PM
Jet Energy Corrections with GNN Regression
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Daniel Holmberg
(CERN)
