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9:00 AM
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Opening session
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Fabio Catalano
(University and INFN Torino (IT))
Pietro Vischia
(Universite Catholique de Louvain (UCL) (BE))
Andrea Wulzer
(CERN and EPFL)
Riccardo Torre
(CERN)
Michael Aaron Kagan
(SLAC National Accelerator Laboratory (US))
Lorenzo Moneta
(CERN)
Anja Butter
Simon Akar
(University of Cincinnati (US))
David Rousseau
(IJCLab-Orsay)
Gian Michele Innocenti
(CERN)
(until 9:10 AM)
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9:00 AM
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Opening of the workshop
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Simon Akar
(University of Cincinnati (US))
Riccardo Torre
(CERN)
Pietro Vischia
(Universite Catholique de Louvain (UCL) (BE))
Michael Aaron Kagan
(SLAC National Accelerator Laboratory (US))
Lorenzo Moneta
(CERN)
Gian Michele Innocenti
(CERN)
Fabio Catalano
(University and INFN Torino (IT))
David Rousseau
(IJCLab-Orsay)
Anja Butter
Andrea Wulzer
(CERN and EPFL)
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9:10 AM
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HEP Plenary
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Lorenzo Moneta
(CERN)
David Rousseau
(IJCLab-Orsay)
(until 12:10 PM)
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9:10 AM
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Future applications of ML in HEP
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Tommaso Dorigo
(Universita e INFN, Padova (IT))
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9:50 AM
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--- Discussion ---
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10:00 AM
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ML in Cosmology
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Christoph Weniger
(University of Amsterdam)
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10:40 AM
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--- Discussion ---
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10:50 AM
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--- Coffee Break ---
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11:20 AM
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Quantum ML
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Sofia Vallecorsa
(CERN)
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12:00 PM
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--- Discussion ---
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9:00 AM
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Workshop
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Simon Akar
(University of Cincinnati (US)) Dr
Pietro Vischia
(Universite Catholique de Louvain (UCL) (BE))
(until 10:30 AM)
(4/3-006 - TH Conference Room)
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9:00 AM
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Conditional Invertible Network for Neutrino Regression
- Mr
Matthew Leigh
(University of Geneva)
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9:25 AM
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Uncertainty Aware Learning for High Energy Physics With A Cautionary Tale
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Aishik Ghosh
(University of California Irvine (US))
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9:30 AM
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Learning New Physics aware of systematic uncertainties
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Gaia Grosso
(Universita e INFN, Padova (IT))
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9:45 AM
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Learning Optimal Test Statistics in the Presence of Nuisance Parameters
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Lukas Alexander Heinrich
(CERN)
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10:00 AM
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Spatio-Temporal Anomaly Detection for the DQM of the CMS Experiment via Graph Networks
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Mulugeta Asres
(University of Agder (NO))
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10:30 AM
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--- Coffee Break ---
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11:00 AM
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CERN Data Science Seminar
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Coline Devin
(Deep Mind)
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11:50 AM
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--- Discussion ---
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9:00 AM
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Workshop
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Michael Aaron Kagan
(SLAC National Accelerator Laboratory (US))
Riccardo Torre
(CERN)
(until 10:10 AM)
(4/3-006 - TH Conference Room)
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9:00 AM
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Calomplification: The Power of Generative Calorimeter Models
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Sebastian Guido Bieringer
(Hamburg University)
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9:25 AM
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How to generate all possible simulations with GANs?
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Jan Michal Dubinski
(Warsaw University of Technology (PL))
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9:30 AM
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Information-theoretic stochastic contrastive conditional GAN (InfoSCC-GAN) for physical data generation
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Vitaliy Kinakh
(Université de Genève (CH))
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9:55 AM
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IEA-GAN: Intra-Event Aware GAN for the Fast Simulation of PXD Background at Belle II
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Hosein Hashemi
(LMU Munich)
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10:10 AM
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--- Coffee Break ---
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10:35 AM
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Workshop
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Michael Aaron Kagan
(SLAC National Accelerator Laboratory (US))
Riccardo Torre
(CERN)
(until 12:10 PM)
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10:35 AM
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An infra-red and collinear safe message passing neural network
- Mr
Vishal Singh Ngairangbam
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11:00 AM
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Quarks and gluons in the Lund plane
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Gregory Soyez
(IPhT, CEA Saclay) Dr
Frederic Alexandre Dreyer
(University of Oxford)
Adam Takacs
(University of Bergen)
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11:15 AM
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Targeting Multi-Loop Integrals with Neural Networks
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Ramon Winterhalder
(UC Louvain)
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11:40 AM
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Towards a Deep Learning Model for Hadronization
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Andrzej Konrad Siodmok
(Jagiellonian University (PL))
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12:05 PM
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Using Machine Learning techniques in phenomenological studies in flavour physics
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Jorge Alda Gallo
(Universidad de Zaragoza)
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9:00 AM
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Workshop
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Simon Akar
(University of Cincinnati (US))
Fabio Catalano
(University and INFN Torino (IT))
(until 10:45 AM)
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9:00 AM
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Neural network distributed training and optimization library (NNLO)
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Irena Veljanovic
(CERN)
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9:25 AM
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MLaaS4HEP: Machine Learning as a Service for HEP
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Luca Giommi
(Universita e INFN, Bologna (IT))
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9:30 AM
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Quantum Machine Learning algorithms in the latent space of HEP events
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Kinga Anna Wozniak
(University of Vienna (AT))
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9:55 AM
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GNN-based algorithm for full-event filtering and interpretation at the LHCb trigger
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Julian Garcia Pardinas
(Universita & INFN, Milano-Bicocca (IT))
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10:20 AM
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Graph Neural Network Track Reconstruction for the ATLAS ITk Detector
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Daniel Thomas Murnane
(Lawrence Berkeley National Lab. (US))
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10:45 AM
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--- Coffee Break ---
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11:15 AM
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Workshop
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Fabio Catalano
(University and INFN Torino (IT))
Simon Akar
(University of Cincinnati (US))
(until 12:30 PM)
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11:15 AM
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Application of artificial intelligence in the reconstruction of signals from the PADME electromagnetic calorimeter
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Kalina Stoimenova
(Sofia University "St. Kliment Ohridski")
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11:20 AM
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Semi-supervised Graph Neural Networks for Pileup Noise Removal
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Garyfallia Paspalaki
(Purdue University (US))
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11:25 AM
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CBM performance for (multi-)strange hadron measurements using Machine Learning techniques
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Shahid Khan
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11:30 AM
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Leveraging universality of jet taggers through transfer learning
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Radoslaw Piotr Grabarczyk
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11:55 AM
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Particle Transformer for Jet Tagging
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Sitian Qian
(Peking University (CN))
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12:20 PM
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ML for SUEP Detection
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Luca Marco Lavezzo
(MIT)
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12:25 PM
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Using Graph autoencoders to trigger on new physics at the LHC
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Muhammad-Hassan Shahid
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12:00 PM
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--- Lunch Break ---
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2:00 PM
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Tutorials
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Speaker TBC
(until 3:00 PM)
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3:00 PM
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--- Coffee Break ---
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3:30 PM
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Tutorials
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David Rousseau
(IJCLab-Orsay) Dr
Pietro Vischia
(Universite Catholique de Louvain (UCL) (BE))
(until 6:00 PM)
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3:30 PM
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JAX and Differentiable Programming Tutorial
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Nathan Daniel Simpson
(Lund University (SE))
Lukas Alexander Heinrich
(CERN)
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12:10 PM
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--- Lunch Break ---
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1:30 PM
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Invited talk
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Anja Butter
Michael Aaron Kagan
(SLAC National Accelerator Laboratory (US))
(until 2:15 PM)
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1:30 PM
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Differentiable Physics Simulations for Deep Learning
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Nils Thürey
(Technische Universität München)
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2:05 PM
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--- Discussion ---
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2:15 PM
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Industry Session
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Pietro Vischia
(Universite Catholique de Louvain (UCL) (BE))
Simon Akar
(University of Cincinnati (US))
(until 3:35 PM)
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2:15 PM
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How to drive scientific progress with community-driven open source projects: the scikit-learn approach
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Alexandre Gramfort
(INRIA, Univ. Paris Saclay)
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2:45 PM
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--- Discussion ---
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2:55 PM
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Hardware and software challenges for massive-scale AI
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Laurent Daudet
(CTO and co-founder at LightOn, Professor (on leave) of physics at Université de Paris. )
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3:25 PM
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--- Discussion ---
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3:35 PM
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--- Coffee Break ---
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4:05 PM
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Workshop
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Riccardo Torre
(CERN)
Michael Aaron Kagan
(SLAC National Accelerator Laboratory (US))
(until 6:05 PM)
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4:05 PM
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Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders
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Breno Orzari
(UNESP - Universidade Estadual Paulista (BR))
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4:20 PM
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Hadrons, Better, Faster, Stronger
-
Engin Eren
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4:45 PM
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SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
- Mr
Atul Kumar Sinha
(University of Geneva)
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5:10 PM
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Calibrating stochastic simulations with optimal transport
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Philipp Windischhofer
(University of Oxford (GB))
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12:00 PM
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--- Lunch Break ---
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2:00 PM
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Industry Session
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Lorenzo Moneta
(CERN)
Anja Butter
(until 3:00 PM)
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2:00 PM
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Foundation Models for Accelerated Discovery
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John R. Smith
( IBM Fellow and IBM Research global lead for Discovery Technology Foundations)
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2:50 PM
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--- Discussion ---
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3:00 PM
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Workshop
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Simon Akar
(University of Cincinnati (US))
Fabio Catalano
(University and INFN Torino (IT))
(until 4:00 PM)
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3:00 PM
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Truncated Marginal Neural Ratio Estimation with swyft
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Benjamin Kurt Miller
(University of Amsterdam)
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3:25 PM
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Summary of Learning To Discover workshop
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David Rousseau
(IJCLab-Orsay)
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3:50 PM
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Autoencoders for semivisible jet detection
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Jeremi Niedziela
(ETH Zurich (CH))
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3:55 PM
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Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging
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Taoli Cheng
(University of Montreal)
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4:00 PM
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--- Coffee Break ---
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4:30 PM
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Workshop
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Simon Akar
(University of Cincinnati (US))
Fabio Catalano
(University and INFN Torino (IT))
(until 6:15 PM)
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4:30 PM
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Cosmological Simulation-Based Inference with Truncated Marginal Neural Ratio Estimation
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Alex Cole
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4:55 PM
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CURTAINs for you Sliding Window: Constructing Unobserved Regions by Transporting Adjacent INtervals to improve the reach of bump hunts in the search for new physics
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Debajyoti Sengupta
(Universite de Geneve (CH))
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5:20 PM
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Object condensation for end-to-end reconstruction in high occupancy calorimeters with graph neural networks
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Shah Rukh Qasim
(Manchester Metropolitan University (GB))
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5:45 PM
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Anomaly detection for the quality control of silicon sensor wafers for the CMS HGCAL upgrade
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Sonja Grönroos
(University of Helsinki (FI))
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6:00 PM
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Clustering for interpreting complex high-energy physics models
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Walter Hopkins
(Argonne National Laboratory (US))
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12:10 PM
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--- Lunch Break ---
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1:30 PM
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Workshop
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Anja Butter
Fabio Catalano
(University and INFN Torino (IT))
(until 3:10 PM)
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1:30 PM
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Turbo-Sim: a generalised generative model with a physical latent space
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Guillaume Quétant
(Université de Genève (CH))
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1:55 PM
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Funnels: Exact maximum likelihood with dimensionality reduction
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Samuel Byrne Klein
(Universite de Geneve (CH))
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2:20 PM
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ML-based Correction to Accelerate Geant4 Calorimeter Simulations
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Evangelos Kourlitis
(Argonne National Laboratory (US))
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2:25 PM
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Particle identification with machine learning in ALICE Run 3
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Maja Kabus
(Warsaw University of Technology (PL))
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2:50 PM
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Data-driven machine learning algorithms for the calibration of space-charge distortion fluctuations in the ALICE TPC
-
Marian Ivanov
(GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))
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3:10 PM
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--- Coffee Break ---
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3:40 PM
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Workshop
-
Anja Butter
Fabio Catalano
(University and INFN Torino (IT))
(until 5:00 PM)
(4/3-006 - TH Conference Room)
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3:40 PM
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FPGA acceleration of the CMS DNN based LLP Jet Algorithm for the LHC High-Luminosity upgrade
-
Tarik Ourida
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4:05 PM
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Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows
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Sascha Daniel Diefenbacher
(Hamburg University (DE))
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4:20 PM
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Optimized Deep Learning Inference on High Level Trigger at the LHC: Computing time and Resource assessment
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Syed Anwar Ul Hasan
(Universita & INFN Pisa (IT))
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4:35 PM
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Unsupervised learning for real-time SUEP detection in a High Level Trigger system at the LHC
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Simranjit Singh Chhibra
(CERN)
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4:40 PM
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Neural network based primary vertex reconstruction with FPGAs for the upgrade of the CMS level-1 trigger system
-
Matthias Komm
(Deutsches Elektronen-Synchrotron (DE))
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4:55 PM
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Multi-objective optimization for the CMS High Granularity Calorimeter Level 1 trigger
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Alexandre Hakimi
(Centre National de la Recherche Scientifique (FR))
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5:00 PM
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Happy hour session in front of Restaurant 1
(until 7:00 PM)
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12:30 PM
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--- Lunch Break ---
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2:00 PM
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Workshop
-Dr
Pietro Vischia
(Universite Catholique de Louvain (UCL) (BE))
Lorenzo Moneta
(CERN)
(until 4:00 PM)
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2:00 PM
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Likelihood-Free Frequentist Inference for Calorimetric Muon Energy Measurement
-
Luca Masserano
(Carnegie Mellon University)
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2:25 PM
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Two-level graphs for muon-tomography inference
- Dr
Giles Chatham Strong
(Universita e INFN, Padova (IT))
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2:50 PM
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Electron identification in ATLAS using a deep neural network
-
Lukas Ehrke
(Universite de Geneve (CH))
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2:55 PM
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Tracking of Proton Traces in a Digital Tracking Calorimeter using Reinforcement Learning
-
Tobias Kortus
(University of Applied Sciences Worms)
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3:10 PM
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Point Cloud Deep Learning Methods for Pion Reconstruction in the ATLAS Detector
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Mariel Pettee
(Lawrence Berkeley National Lab. (US))
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3:35 PM
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Explaining machine-learned particle-flow reconstruction
-
Farouk Mokhtar
(Univ. of California San Diego (US))
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4:00 PM
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Closing session
(until 4:30 PM)
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4:00 PM
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Workshop closing
-
Simon Akar
(University of Cincinnati (US))
Riccardo Torre
(CERN) Dr
Pietro Vischia
(Universite Catholique de Louvain (UCL) (BE))
Michael Aaron Kagan
(SLAC National Accelerator Laboratory (US))
Lorenzo Moneta
(CERN)
Gian Michele Innocenti
(CERN)
Fabio Catalano
(University and INFN Torino (IT))
David Rousseau
(IJCLab-Orsay)
Anja Butter
Andrea Wulzer
(CERN and EPFL)
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