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3:50 PM
Boost-Invariant Polynomials: an efficient and interpretable approach to jet tagging
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Jose Miguel Munoz Arias
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3:50 PM
Graph Neural Network (GNN) based Truth-tagging Tool in ATLAS
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Lakmin Wickremasinghe
(Osaka University (JP))
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3:50 PM
Calomplification: The Power of Generative Calorimeter Models
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Daniel Hundhausen
(Hamburg University (DE))
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3:50 PM
Neural network-based differential equation solver and application to medium induced radiation
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Chang Wu
(Technion - Israel Institute of Technology)
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3:50 PM
Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows
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Sascha Daniel Diefenbacher
(Hamburg University (DE))
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3:50 PM
Point Cloud Generation for Collider Events
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Erik Buhmann
(Hamburg University (DE))
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3:50 PM
Machine learning approaches for parameter reweighting in MC samples of top quark production in CMS
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Valentina Guglielmi
(Deutsches Elektronen-Synchrotron (DE))
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3:50 PM
Jet tagging with the Boosted Event Shape Tagger at CMS
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Brendan Regnery
(University of California Davis (US))
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3:50 PM
Displaced fat-jets and tracks to probe boosted right-handed neutrinos in the $U(1)_{B-L}$ model
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ROJALIN PADHAN
(Institute of Physics, Bhubaneswar)
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3:50 PM
Classifying Anomalies THrough Outer Density Estimation (CATHODE)
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Tobias Quadfasel
(Hamburg University (DE))
Manuel Sommerhalder
(Hamburg University (DE))
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3:50 PM
Search for new resonances decaying into a Higgs boson and a generic new boson X in the XH -> qqbb final state with the ATLAS detector
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Silvia Auricchio
(Universita e INFN sezione di Napoli (IT))
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3:50 PM
Search for single production of a vector-like T quark decaying into a Higgs boson and top quark with fully hadronic final states using the ATLAS detector
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Sahibjeet Singh
(University of Toronto (CA))
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3:50 PM
Point Cloud Deep Learning Methods for Pion Reconstruction in the ATLAS Detector
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Jan Tuzlic Offermann
(University of Chicago (US))
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3:50 PM
Constituent-Based Top-Quark Tagging with the ATLAS Detector
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Kevin Thomas Greif
(University of California Irvine (US))
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3:50 PM
Unified Flow performance in ATLAS
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Nathan Lalloue
(Centre National de la Recherche Scientifique (FR))
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3:50 PM
Generative Models for Fast Simulation of Electromagnetic and Hadronic Showers in Highly Granular Calorimeters
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Engin Eren
(Deutsches Elektronen-Synchrotron (DE))
