Focus on:  Hide Contributions
Back to Conference View
Login
6th Inter-experiment Machine Learning Workshop

from Monday, January 29, 2024 (9:00 AM) to Friday, February 2, 2024 (7:00 PM)
CERN (503/1-001)

        : Sessions
    /     : Talks
        : Breaks
Jan 29, 2024
Jan 30, 2024
Jan 31, 2024
Feb 1, 2024
Feb 2, 2024
AM
10:00 AM
Keynotes Physics + ML (until 11:00 AM) (40/S2-D01 - Salle Dirac)
10:00 AM ML and Quantum Physics - Eliska Greplova (TU Delft)  
11:00 AM --- Coffee Break ---
11:30 AM
Contributed Talks (until 12:50 PM) (40/S2-D01 - Salle Dirac)
11:30 AM Accelerating Graph-Based Tracking with Symbolic Regression - Nathalie Soybelman (Weizmann Institute of Science (IL))  
11:50 AM Reinforcement Learning Algorithms for Charged Particle Tracking with Applications in Proton Computed Tomography - Tobias Kortus  
12:10 PM Differentiable Vertex Fitting for Jet Flavour Tagging - Rachel Emma Clarke Smith (SLAC National Accelerator Laboratory (US)) Ruben Miguel De Almeida Inacio (LIP - Laboratorio de Instrumentação e Física Experimental de Partículas (PT))  
12:30 PM Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC - Simon Akar (University of Cincinnati (US))  
9:00 AM
Keynotes Physics + ML (until 10:30 AM)
9:00 AM Improving data-driven model predictions using physics in the CERN accelerator complex - Francesco Maria Velotti (CERN)  
IML2024_Velotti.mp4
Slides
PDF version (not for presentation)
9:30 AM ML and Molecular Physics - Jonas Koehler (Microsoft Research)  
10:30 AM --- Coffee Break ---
11:00 AM
CERN Data Science Seminar (until 12:00 PM)
11:00 AM Problem solving as a translation task - Francois Charton (Facebook AI Research)  
9:00 AM
Tutorials (until 10:30 AM)
9:00 AM Quantum machine learning - Dr Sofia Vallecorsa (CERN)  
10:30 AM --- Coffee ---
11:00 AM
Tutorials (until 12:30 PM)
11:00 AM Thinking like Transformers - Dr Gail Weiss (EPFL)  
9:00 AM
Contributed Talks (until 10:20 AM) (222/R-001)
9:00 AM DeepTreeGANv2: Iterative Pooling of Point Clouds - Mr Moritz Scham (Deutsches Elektronen-Synchrotron (DE))  
9:20 AM Out-of-Distribution Multi-set Generation with Context Extrapolation for Amortized Simulation and Inverse Problems - Hosein Hashemi (LMU Munich)  
9:40 AM Conditional Set-to-Set Generation for Fast Simulation using Diffusion and Graph-to-Graph Translation - Dmitrii Kobylianskii (Weizmann Institute of Science (IL))  
10:00 AM Unweighted event generation with matrix element surrogates - Timo Janssen  
10:20 AM --- Coffee ---
10:50 AM
Contributed Talks (until 11:50 AM) (222/R-001)
10:50 AM A Deep Generative Model for Hadronization - Jay Chan (Lawrence Berkeley National Laboratory)  
11:10 AM Reinforcement learning for automatic data quality monitoring in HEP experiments - Olivia Jullian Parra (CERN)  
11:30 AM Longitudinal Beam Diagnostics and Phase Space Reconstruction in the LHC Using ML - Konstantinos Iliakis (CERN)  
11:50 AM Closeout   (222/R-001)
PM
2:00 PM Workshop welcome and introduction - Julian Garcia Pardinas (CERN)  
2:05 PM
Keynotes ML Research (until 4:05 PM)
2:05 PM Thoughts about Machine Learning - Prof. Juergen Schmidhuber (KAUST and IDSIA)  
3:05 PM Modeling epistemics with machine learning - Dr Gael Varoquaux (INRIA)  
4:05 PM --- Coffee Break ---
4:30 PM
Contributed Talks (until 5:50 PM)
4:30 PM Attention to the strengths of physics interactions: Enhanced Deep Learning Event Classification for Particle Physics Experiments - Polina Moskvitina (Nikhef National institute for subatomic physics (NL))  
4:50 PM Modeling $N_{\mathrm{ch}}$ distributions and $p_{\mathrm{T}}$ spectra in high-energy pp collisions with DNNs - Maria Alejandra Calmon Behling (Goethe University Frankfurt (DE))  
5:10 PM The DL Advocate: Playing the devil's advocate with hidden systematic uncertainties - Andrea Mauri (Imperial College (GB))  
5:30 PM the Fair Universe project and the HiggsML Uncertainty Challenge - David Rousseau (IJCLab-Orsay)  
12:50 PM --- Lunch ---
2:00 PM
Contributed Talks (until 3:20 PM) (40/S2-D01 - Salle Dirac)
2:00 PM End-to-end Reconstruction Algorithm for Highly Granular Calorimeters - Mr Philipp Zehetner (Ludwig Maximilians Universitat (DE))  
2:20 PM Electron and Proton Classification with AMS ECAL Using Convolutional Vision Transformers and Domain Adaptation - Berk Turk (Middle East Technical University (TR))  
2:40 PM Parametrising profiled likelihoods with neural networks - Dr Humberto Reyes-González (University of Genoa)  
3:00 PM Accelerating the search for mass bumps using the Data-Directed Paradigm - Bruna Pascual (Universite de Montreal (CA))  
3:20 PM --- Coffee Break ---
3:50 PM
Contributed Talks (until 5:50 PM) (40/S2-D01 - Salle Dirac)
3:50 PM Training and optimisation of large transformer models at CERN: an ATLAS case study on Kubeflow - Maxence Draguet (University of Oxford (GB))  
4:10 PM Masked particle modelling - Samuel Byrne Klein (Universite de Geneve (CH))  
4:30 PM Finetuning Foundation Models for Joint Analysis Optimization - Matthias Vigl (Technische Universitat Munchen (DE))  
4:50 PM Re-simulation-based self-supervision for representation learning - Jeffrey Krupa (Massachusetts Institute of Technology)  
12:00 PM --- Lunch ---
2:00 PM
Keynote Industry (until 3:00 PM)
2:00 PM Retrieval Augmented Language Models - Casey Fitzpatrick (Contextual AI)  
3:00 PM --- Coffee ---
3:30 PM
Poster Session (until 6:55 PM)
3:30 PM Machine learning approaches for parameter reweighting in MC samples of top quark production in CMS - Valentina Guglielmi (Deutsches Elektronen-Synchrotron (DE))  
3:35 PM ML-assisted reconstruction of hadron-collider events with mini-jets - Josef Modestus Murnauer (Max Planck Society (DE))  
3:40 PM Deep learning for the rare top decay t→sW at the LHC - Jeewon Heo (University of Seoul, Department of Physics (KR))  
3:45 PM Improving the line-segment tracking algorithm with machine learning for the High Luminosity LHC - Jonathan Guiang (Univ. of California San Diego (US))  
3:50 PM A data-driven and model-agnostic approach to solving combinatorial assignment problems in searches for new physics - Anthony Badea (University of Chicago (US)) Javier Montejo Berlingen (The Barcelona Institute of Science and Technology (BIST) (ES))  
3:55 PM DeepCore2.0: Convolutional Neural Network for Tracking in the Core of High-Energy Jets - Hichem Bouchamaoui (Princeton University (US))  
4:00 PM Topological separation of dielectron signals using machine learning in Pb--Pb collisions with ALICE - Jerome Jung (Goethe University Frankfurt (DE))  
4:05 PM Model-independent strategy for New Physics seartch at LHC using Anomaly Detection algorithms - Louis Vaslin (High Energy Accelerator Research Organization (JP))  
4:10 PM Electron identification with a convolutional neural network - Hoang Dai Nghia Nguyen (Université de Montreal (CA))  
4:15 PM Particle identification with Machine Learning for ALICE ITS2 - Giorgio Alberto Lucia (Universita e INFN Torino (IT))  
4:20 PM Decorrelation using Optimal Transport - Malte Algren (Universite de Geneve (CH))  
4:25 PM Particle Transformer for tau lepton pair invariant mass reconstruction for the HH→bbtautau CMS analysis - Valentina Camagni (Universita & INFN, Milano-Bicocca (IT))  
4:30 PM Apples to Apples in Jet Quenching - João A. Gonçalves (LIP - IST)  
4:35 PM Uncertainty-aware Machine Learning for Proton Therapy Range Verification with a Digital Tracking Calorimeter - Alexander Schilling (University of Applied Sciences Worms)  
4:40 PM Training and optimisation of large transformer models at CERN: an ATLAS case study on Kubeflow - Poster - Maxence Draguet (University of Oxford (GB))  
4:45 PM Reinforcement Learning Algorithms for Charged Particle Tracking with Applications in Proton Computed Tomography - Poster - Tobias Kortus  
4:50 PM Out-of-Distribution Multi-set Generation with Context Extrapolation for Amortized Simulation and Inverse Problems - Poster - Hosein Hashemi (LMU Munich)  
4:55 PM Electron and Proton Classification with AMS ECAL Using Convolutional Vision Transformers and Domain Adaptation - Poster - Berk Turk (Middle East Technical University (TR))  
5:00 PM Differentiable Vertex Fitting for Jet Flavour Tagging - Poster - Ruben Miguel De Almeida Inacio (LIP - Laboratorio de Instrumentação e Física Experimental de Partículas (PT))  
5:05 PM Modeling $N_{\mathrm{ch}}$ distributions and $p_{\mathrm{T}}$ spectra in high-energy pp collisions with DNNs - Poster - Maria Alejandra Calmon Behling (Goethe University Frankfurt (DE))  
5:10 PM DeepTreeGANv2: Iterative Pooling of Point Clouds - Poster - Mr Moritz Scham (Deutsches Elektronen-Synchrotron (DE))  
5:15 PM Accelerating the search for mass bumps using the Data-Directed Paradigm - Poster - Bruna Pascual (Universite de Montreal (CA))  
5:20 PM A Deep Generative Model for Hadronization - Poster - Jay Chan (Lawrence Berkeley National Laboratory)  
5:25 PM Attention to the strengths of physics interactions: Enhanced Deep Learning Event Classification for Particle Physics Experiments - Poster - Polina Moskvitina (Nikhef National institute for subatomic physics (NL))  
5:30 PM Longitudinal Beam Diagnostics and Phase Space Reconstruction in the LHC Using ML - Poster - Konstantinos Iliakis (CERN)  
12:30 PM --- Lunch ---
2:00 PM
Keynotes Physics + ML (until 3:00 PM)
2:00 PM Collider Physics and ML - Gregor Kasieczka (Hamburg University (DE))  
3:00 PM --- Coffee ---
3:30 PM
Poster Session (until 6:30 PM)
3:30 PM Simultaneous calibration of jet energy and mass using DNN in ATLAS - Pierre Antoine Delsart (LPSC/CNRS (Grenoble, FR))  
3:35 PM Search for long-lived heavy neutral leptons using a displaced jet tagger - Matthias Komm (Deutsches Elektronen-Synchrotron (DE))  
3:40 PM Transformers for Particle Track Reconstruction and Hit Clustering - Nadezhda Dobreva  
3:45 PM Simulation-based inference in the search for CP violation in leptonic WH production - Ricardo Barrué (LIP - Laboratorio de Instrumentacao e Fisica Experimental de Partículas)  
3:50 PM Conditional normalizing flows for correcting simulations - Caio Cesar Daumann (Rheinisch Westfaelische Tech. Hoch. (DE))  
3:55 PM Unsupervised tagging of semivisible jets with energy-based autoencoders in CMS - Florian Eble (ETH Zurich (CH))  
4:00 PM Energy-based graph autoencoders for semivisible jet tagging in the Lund representation - Christoph Frederik Ribbe (ETH Zurich (CH))  
4:05 PM Systematic Effects in Jet Tagging Performance for the ATLAS Detector - Kevin Thomas Greif (University of California Irvine (US))  
4:10 PM BSM models and parameter inference via an n-channel 1D-CNN - Yong Sheng Koay  
4:15 PM Generating parton-level events from reconstructed events with Conditional Normalizing Flows - Adrian Antonio Petre (ETH Zurich (CH))  
4:20 PM Machine learning for enhanced measurement of Higgs boson production cross section via vector boson fusion in H->WW* with the ATLAS detector - Metea Castilleja Marr (Simon Fraser University (CA))  
4:25 PM The DL Advocate: Playing the devil's advocate with hidden systematic uncertainties - Poster - Guillermo Hijano Mendizabal (University of Zurich (CH))  
4:30 PM Unweighted event generation with matrix element surrogates - Poster - Timo Janssen  
4:35 PM the Fair Universe project and the HiggsML Uncertainty Challenge - Poster - Ragansu Chakkappai (Université Paris-Saclay (FR))  
4:40 PM Reinforcement learning for automatic data quality monitoring in HEP experiments - Poster - Olivia Jullian Parra (CERN)  
4:45 PM Re-simulation-based self-supervision for representation learning - Poster - Jeffrey Krupa (Massachusetts Institute of Technology)  
4:50 PM Parametrising profiled likelihoods with neural networks - Poster - Dr Humberto Reyes-González (University of Genoa)  
4:55 PM End-to-end Reconstruction Algorithm for Highly Granular Calorimeters - Poster - Mr Philipp Zehetner (Ludwig Maximilians Universitat (DE))  
5:00 PM Masked particle modelling - Poster - Samuel Byrne Klein (Universite de Geneve (CH))  
5:05 PM Finetuning Foundation Models for Joint Analysis Optimization - Poster - Matthias Vigl (Technische Universitat Munchen (DE))  
5:10 PM Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC - Poster - Simon Akar (University of Cincinnati (US))  
Powered by Indico v3.3.7-pre