9:00 AM
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Interpretability
-
Prasanth Shyamsundar
(Fermi National Accelerator Laboratory)
Savannah Jennifer Thais
(Princeton University (US))
(until 10:40 AM)
(Multipurpose Room (aka Livingston Hall))
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9:00 AM
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Infra-red and collinear safe Graph Neural Networks
-
Vishal Singh Ngairangbam
(Multipurpose Room (aka Livingston Hall))
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9:20 AM
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Resilience of Quark-Gluon Tagging
-
Lorenz Vogel
(ITP, Heidelberg University)
(Multipurpose Room (aka Livingston Hall))
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9:40 AM
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Boost-Invariant Polynomials: an efficient and interpretable approach to jet tagging
- Mr
Jose Miguel Munoz Arias
(EIA University)
(Multipurpose Room (aka Livingston Hall))
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10:00 AM
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Learning to Identify Semi-Visible Jets
-
Taylor James Faucett
(University of California, Irvine)
(Multipurpose Room (aka Livingston Hall))
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10:20 AM
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Feature selection with Distance Correlation
-
RANIT DAS
(Multipurpose Room (aka Livingston Hall))
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9:00 AM
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Reconstruction
-
Christina Peters
(University of Delaware) Prof.
Joel Walker
(Sam Houston State University)
(until 10:40 AM)
(202ABC)
|
9:00 AM
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Machine learning for particle flow at CMS
-
Dylan Sheldon Rankin
(Massachusetts Inst. of Technology (US))
(202ABC)
|
9:20 AM
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Point Cloud Deep Learning Methods for Pion Reconstruction in the ATLAS Experiment
-
Piyush Karande
(Lawrence Livermore National Laboratory)
(202ABC)
|
9:40 AM
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Particle reconstruction in jets with set transformer and hypergraph prediction architectures
-
Nilotpal Kakati
(Weizmann Institute of Science (IL))
Etienne Dreyer
(Weizmann Institute of Science (IL))
(202ABC)
|
10:00 AM
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Optimal transport solutions for pileup mitigation at hadron colliders
-
Fabio Iemmi
(Chinese Academy of Sciences (CN))
(202ABC)
|
10:20 AM
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ν-flows: Conditional neutrino momentum regression
- Mr
Matthew Leigh
(University of Geneva)
(202ABC)
|
10:40 AM
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--- Coffee ---
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11:10 AM
|
Interpretability
-Dr
Purvasha Chakravarti
(University College London)
Abhijith Gandrakota
(Fermi National Accelerator Lab. (US))
(until 12:50 PM)
(Multipurpose Room (aka Livingston Hall))
|
11:10 AM
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Jet tagging with deep sets of subjets
-
Dimitrios Athanasakos
(Multipurpose Room (aka Livingston Hall))
|
11:30 AM
|
Blueprints for Training Information Bottlenecks for Collider Analyses
-
Prasanth Shyamsundar
(Fermi National Accelerator Laboratory)
(Multipurpose Room (aka Livingston Hall))
|
11:50 AM
|
Weakly Supervised Learning for Muon Discrimination in Unlabeled Collider Data
-
Edmund Witkowski
(UCI)
(Multipurpose Room (aka Livingston Hall))
|
12:10 PM
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Can You Hear the Shape of a Jet?
-
Rikab Gambhir
(MIT)
(Multipurpose Room (aka Livingston Hall))
|
12:30 PM
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Neural Estimation of Energy Movers Distance
-
Ouail Kitouni
(Massachusetts Inst. of Technology (US))
(Multipurpose Room (aka Livingston Hall))
|
11:10 AM
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Reconstruction
-
Julia Lynne Gonski
(Columbia University (US))
Etienne Dreyer
(Weizmann Institute of Science (IL))
(until 12:50 PM)
(202ABC)
|
11:10 AM
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Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC
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Michael David Sokoloff
(University of Cincinnati (US))
(202ABC)
|
11:30 AM
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Graph Neural Networks for a Deep-learning based Full Event Interpretation (DFEI) at the LHCb trigger
-
Julian Garcia Pardinas
(Universita & INFN, Milano-Bicocca (IT))
(202ABC)
|
11:50 AM
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Likelihood-Free Frequentist Inference for Calorimetric Muon Energy Measurement
-
Luca Masserano
(Carnegie Mellon University)
(202ABC)
|
12:10 PM
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A boosted kNN regressor with 66 million parameters
-
Tommaso Dorigo
(Universita e INFN, Padova (IT))
(202ABC)
|
12:30 PM
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Jet SIFT-ing
-
Joel Walker
(Sam Houston State University)
(202ABC)
|