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4:00 PM
How will AI enable autonomous particle accelerators?
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Verena Kain
(CERN)
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4:15 PM
End-To-End Latent Variational Diffusion Models for Unfolding LHC Events.
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Alexander Shmakov
(University of California Irvine (US))
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4:23 PM
PC-Droid: Jet generation with diffusion
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Matthew Leigh
(University of Geneva)
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4:31 PM
Masked particle modelling
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Samuel Byrne Klein
(Universite de Geneve (CH))
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4:39 PM
Drapes: Diffusion for weak supervision
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Debajyoti Sengupta
(Universite de Geneve (CH))
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4:47 PM
Self-supervised learning of jets using a realistic detector simulation
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Dmitrii Kobylianskii
(Weizmann Institute of Science (IL))
Etienne Dreyer
(Weizmann Institute of Science (IL))
Nathalie Soybelman
(Weizmann Institute of Science (IL))
Nilotpal Kakati
(Weizmann Institute of Science (IL))
Patrick Rieck
(New York University (US))
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4:55 PM
De-noising Graph Super-Resolution with Diffusion Models and Transformers
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Nilotpal Kakati
(Weizmann Institute of Science (IL))
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5:03 PM
Field-Level Inference with Microcanonical Langevin Monte Carlo
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Adrian Bayer
(Princeton University / Simons Foundation)
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5:11 PM
Accelerating graph-based tracking with symbolic regression
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Nathalie Soybelman
(Weizmann Institute of Science (IL))
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5:19 PM
Novel Approaches for Fast Simulation in HEP using Diffusion and Graph-to-Graph Translation
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Dmitrii Kobylianskii
(Weizmann Institute of Science (IL))
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5:27 PM
The MadNIS Reloaded – Boosting MG5aMC with Neural Networks
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Theo Heimel
(Heidelberg University)
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5:35 PM
Galaxies and Graphs
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Christian Kragh Jespersen
(Princeton University)
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5:43 PM
Simulation-based Self-supervised Learning (S3L)
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Benedikt Maier
(KIT - Karlsruhe Institute of Technology (DE))
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5:51 PM
ATLAS fast calorimeter simulation; the necessity, success and future possibilities.
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Henry Day-Hall
(Czech Technical University in Prague (CZ))
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5:59 PM
Decorrelation using Optimal Transport
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Malte Algren
(Universite de Geneve (CH))
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6:07 PM
The Interplay of Machine Learning–based Resonant Anomaly Detection Methods
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Radha Mastandrea
(University of California, Berkeley)
