Name: ML4Jets2024
Start: 2024-11-04T08:30:00+01:00
End: 2024-11-08T17:00:00+01:00
Location: LPNHE, Paris, France

ML4Jets2024

from Monday, November 4, 2024 (8:30 AM) to Friday, November 8, 2024 (5:00 PM)

Monday, November 4, 2024

8:30 AM Arrival & coffee
Arrival & coffee
8:30 AM - 9:00 AM
9:00 AM
9:00 AM - 9:40 AM
Contributions

9:00 AM Welcome
9:40 AM ML by ML
ML by ML
9:40 AM - 10:20 AM
Contributions

9:40 AM Symbolic machine learning in physics - Francois Charton (Meta AI Paris)
10:20 AM Coffee break
Coffee break
10:20 AM - 10:50 AM
10:50 AM Experimental overview
Experimental overview
10:50 AM - 12:10 PM
Contributions

10:50 AM Experimental highlights: Edge AI for particle physics - Jennifer Ngadiuba (FNAL)

11:30 AM Experimental highlights: The State of ML in LHC Science - Daniel Thomas Murnane (Niels Bohr Institute, University of Copenhagen)
12:10 PM Lunch
Lunch
12:10 PM - 1:50 PM
1:50 PM MadNIS
MadNIS
1:50 PM - 2:30 PM
Contributions

1:50 PM MadNIS - A journey towards the first ML event generator - Ramon Winterhalder (Università degli Studi di Milano)
2:30 PM
2:30 PM - 3:30 PM
Contributions

2:30 PM The Phase Space Distance Between Collider Events - Tianji Cai (SLAC National Accelerator Laboratory)

2:50 PM Meta-Learning Quantum Jet Properties with Quantum Generative Models - Yacine Haddad (Northeastern University (US))

3:10 PM Introducing Aspen Open Jets: a real-world ML-ready dataset for jet physics - Ian Pang
3:30 PM Coffee break
Coffee break
3:30 PM - 4:00 PM
4:00 PM ML by ML
ML by ML
4:00 PM - 4:40 PM
Contributions

4:00 PM Time Series Anomaly Detection: Overview and New Trends - Paul Boniol (INRIA, ENS)
4:40 PM
4:40 PM - 5:20 PM
Contributions

4:40 PM The Landscape of Unfolding with Machine Learning - Nathan Huetsch (Heidelberg University, ITP Heidelberg)

5:00 PM Fair Universe HiggsML Uncertainty Challenge - Ragansu Chakkappai (IJCLab-Orsay)
Tuesday, November 5, 2024
9:00 AM
9:00 AM - 10:20 AM
Room: Amphi Charpak
Contributions

9:00 AM Deep learning on jet modification in the presence of the QGP background - RAN LI

9:20 AM Transformer networks for constituent-based b-jet calibration with the ATLAS detector - Brendon Bullard (SLAC National Accelerator Laboratory (US))

9:40 AM Jet Finding as a Real-Time Object Detection Task - Leon Bozianu (Universite de Geneve (CH))

10:00 AM Transformer for Energy Calibration in the ATLAS Electromagnetic Calorimeter - Ryan Roberts (University of California Berkeley (US))
9:00 AM - 10:20 AM
Room: Salle Séminaires
Contributions

9:00 AM Learning the Simplicity of Scattering Amplitudes - Aurelien Dersy (Harvard University)

9:20 AM Taming perturbation theory in QCD with Normalizing Flows - Rikab Gambhir (MIT)

9:40 AM Efficient SMEFT fits with neural importance sampling - Nikita Schmal

10:00 AM Machine learning the likelihoods - Rafal Maselek
10:20 AM Coffee break
Coffee break
10:20 AM - 10:50 AM
10:50 AM Monte Carlo
Monte Carlo
10:50 AM - 12:10 PM
Room: Salle séminaires
Contributions

10:50 AM Exploring phase space with Flow Matching - Timo Janssen

11:10 AM Differentiable MadNIS-Lite - Theo Heimel (Heidelberg University)

11:30 AM Event Generation with Lorentz-Equivariant Geometric Algebra Transformers - Jonas Simon Spinner

11:50 AM Classifying importance regions in Monte Carlo simulations with machine learning - Raymundo Ramos (Korea Institute for Advanced Study)
10:50 AM - 12:10 PM
Room: Amphi Charpak
Contributions

10:50 AM Synergizing Physics: Deep Learning Techniques for Time-of-Flight Reconstruction and Jet Tagging in High Energy Physics - Konrad Helms (Georg-August-Universität Göttingen)

11:10 AM Particle flow and flavor tagging with DNN for Higgs factories - Taikan Suehara (ICEPP, The University of Tokyo (JP))
12:10 PM Lunch - Reception at Zamansky tower
Lunch - Reception at Zamansky tower
12:10 PM - 1:50 PM
1:50 PM
1:50 PM - 3:30 PM
Room: Salle séminaires
Contributions

1:50 PM Data-driven hadronization models - Manuel Szewc

2:10 PM Fast simulation of backgrounds at LHCb - a generalised tool - Alex Marshall (University of Bristol (GB))

2:30 PM Generating particle-clouds with discrete features using Markov jump processes - Darius Faroughy (Rutgers University)

2:50 PM (R) Application of generative models for full-detector, whole-event simulated event generation and jet background subtraction - Yeonju Go (Brookhaven National Laboratory (US))
1:50 PM - 3:30 PM
Room: Amphi Charpak
Contributions

1:50 PM The Fundamental Limit of Jet Tagging - Nishank Nilesh Gite (Lawrence Berkeley National Lab. (US))

2:10 PM Streamlined jet tagging network assisted by jet prong structure - Mihoko Nojiri (Theory Center, IPNS, KEK)

2:30 PM Learning Symmetry-Independent Jet Representation via Jet-Based Joint Embedding Predictive Architecture - Haoyang Li (Univ. of California San Diego (US))

2:50 PM Jet tagging with Lorentz-Equivariant Geometric Algebra Transformers - Víctor Bresó Pla (University of Heidelberg)
3:30 PM Coffee break
Coffee break
3:30 PM - 4:00 PM
4:00 PM
4:00 PM - 5:40 PM
Room: Salle Séminaires
Contributions

4:00 PM Generative transformers for learning point-cloud simulations - Henning Rose

4:20 PM CaloDREAM -- Detector Response Emulation via Attentive flow Matching - Luigi Favaro

4:40 PM Higher Resolution and Angular Conditioning for Normalizing-Flow-based Generation of Calorimeter Showers - Thorsten Lars Henrik Buss (Universität Hamburg (DE))

5:00 PM Calo4pQVAE: A calorimeter surrogate for high energy particle-calorimeter interactions using Dwave’s Zephyr topology - J. Quetzalcoatl Toledo-Marin (TRIUMF)

5:20 PM BitHEP – Are 1-Bit Networks all we need? - Daohan Wang (HEPHY ÖAW)
4:00 PM - 5:40 PM
Room: Amphi Charpak
Contributions

4:20 PM Heavy-Flavour Jet Tagging at LHCb Using Graph Neural Networks - Nathan Grieser (University of Cincinnati (US))

4:40 PM Transforming Flavour Tagging on ATLAS - Greta Brianti (CERN)

5:00 PM UParT: A unified approach for jet-based object identification in CMS in Run 3 - Uttiya Sarkar (Rheinisch Westfaelische Tech. Hoch. (DE))

5:20 PM Performance of the CNN-based tau identification algorithm with Domain Adaptation using Adversarial Machine Learning for Run 2 - Olha Lavoryk (KIT - Karlsruhe Institute of Technology (DE))
Wednesday, November 6, 2024
9:00 AM
9:00 AM - 10:20 AM
Room: Salle séminaire
Contributions

9:00 AM Fast Perfekt: Regression-based refinement of fast simulation - Lars Stietz (Hamburg University of Technology (DE))

9:20 AM Refining CMS Fast Simulation with ML-based regression - Samuel Louis Bein (Universite Catholique de Louvain (UCL) (BE))

9:40 AM Faster Than Fast: Pushing the Limits of Simulation with Generative Models in HEP - Sitian Qian (Peking University (CN))

10:00 AM Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction - Dmitrii Kobylianskii (Weizmann Institute of Science (IL))
9:00 AM - 10:20 AM
Room: amphi Charpak
Contributions

9:00 AM Integrating Energy Flow Networks with Jet Substructure Observables for Enhanced Jet Quenching Studies - João A. Gonçalves (LIP - IST)

9:20 AM Jet Charge Classifiers - Rabia Husain

9:40 AM WOTAN: Weakly-supervised Optimal Transport Attention-based Noise Mitigation - Nathan Suri Jr. (Yale University (US))

10:00 AM Supervised CWoLa: train supervised classifiers without background simulation - Stephen Mulligan (Universite de Genève)
10:20 AM Coffee break
Coffee break
10:20 AM - 10:50 AM
10:50 AM
10:50 AM - 12:10 PM
Room: Amphi Charpak
Contributions

10:50 AM Hadronic Top Quark Polarimetry with ParticleNet - Zhongtian Dong (University of Kansas)

11:10 AM Pretrained event classification model for collider experiments - Joshua Anthony Ho (Lawrence Berkeley National Lab. (US))

11:30 AM Enhancing generalization in high energy physics using white-box adversarial attacks - Franck Rothen (Universite de Geneve (CH))
10:50 AM - 12:10 PM
Room: Salle Séminaires
Contributions

10:50 AM Frequentist Uncertainties on Density Ratios with Ensembles - Sean Benevedes (Massachusetts Institute of Technology)

11:10 AM Machine Learning the Top Mass - Katherine Fraser (Harvard University)

11:30 AM Calibrating ATLAS calorimeter signals using an uncertainty-aware precision network - Lorenz Vogel (Heidelberg University)

11:50 AM Uncertainty Quantification and Anomaly Detection with Evidential Deep Learning - Mark Neubauer (Univ. Illinois at Urbana Champaign (US))
12:10 PM Lunch
Lunch
12:10 PM - 1:50 PM
1:50 PM
1:50 PM - 3:30 PM
Room: Salle Séminaires
Contributions

1:50 PM Fusing physics principles and machine learning: inferring dark matter densities of galaxies using stellar catalogs with incomplete kinematic information - Sung Hak Lim (Rutgers University)

2:10 PM SKATR -- A Self-Supervised Summary Transformer for the Square Kilometre Array - Ayodele Ore

2:30 PM Sweeping the Dust Away: An Unbiased Map of the Milky Way's Dark Matter and Gravitational Potential with Unsupervised Machine Learning - Eric Putney (Rutgers, The State University of New Jersey)

2:50 PM SkyCURTAINs: Model agnostic search for Stellar Streams with Gaia data - Stephen Brian Mulligan (Universite de Geneve (CH))

3:10 PM Generation of Air Shower Images for Imaging Air Cherenkov Telescopes using Diffusion Models - Christian Elflein (Erlangen Centre for Astroparticle Physics)
1:50 PM - 3:30 PM
Room: Amphi Charpak
Contributions

1:50 PM Efficient Particle Tracking and Pileup Mitigation with State space model - Cheng Jiang (The University of Edinburgh (GB))

2:10 PM Graph Neural Network-Based Track Finding in the LHCb Vertex Detector - Fotis Giasemis (Centre National de la Recherche Scientifique (FR))

2:30 PM Accelerating Graph-based Tracking Tasks with Symbolic Regression - Nathalie Soybelman (Weizmann Institute of Science (IL))

2:50 PM Denoising Graph Super-Resolution for Improved Collider Event Reconstruction - Nilotpal Kakati (Weizmann Institute of Science (IL))

3:10 PM (R) Generative Neural Networks for Reconstructing Parton-Level Jet Showers after Hadronization - Umar Sohail Qureshi (Vanderbilt University)
3:30 PM Coffee break
Coffee break
3:30 PM - 4:00 PM
4:00 PM Realtime Analysis
Realtime Analysis
4:00 PM - 4:40 PM
Room: Amphi Charpak
Contributions

4:00 PM Realtime reconstruction: Machine learning in reconstruction at LHC - Simon Akar (University of Cincinnati (US))
4:40 PM
4:40 PM - 5:30 PM
Room: Amphi Charpak
Contributions

4:40 PM A Continuous Calibration of the ATLAS Flavor-Tagging Classifiers via Optimal Transportation Maps - Chris Pollard (University of Warwick (GB))

5:00 PM The Fast Calorimeter Challenge 2022: Final Evaluation & Lessons Learned - Claudius Krause (HEPHY Vienna (ÖAW))
7:00 PM 7PM Workshop Dinner at Bouillon Racine
7PM Workshop Dinner at Bouillon Racine
7:00 PM - 5:00 PM
Thursday, November 7, 2024
9:00 AM
9:00 AM - 10:20 AM
Contributions

9:00 AM Semi-Supervised Permutation Invariant Particle-Level Anomaly Detection - Gabriel Pinheiro Matos (Columbia University (US))

9:20 AM The versatility of flow-based fast calorimeter surrogate models - Ian Pang

9:40 AM (R) Lorentz Group Equivariant Autoencoders - Zichun Hao (California Institute of Technology)

10:00 AM New Physics Searches with Graph-Based Anomaly Detection in High-Energy Collisions - Ines Isabel Gouveia Cipriano Piedade Moreira (Laboratory of Instrumentation and Experimental Particle Physics (PT))
9:00 AM - 10:20 AM
Contributions

9:00 AM The good, the bad, and the Bayesian? - Nina Elmer

9:20 AM Calibrating Bayesian Generative Machine Learning for Bayesiamplification - Sebastian Guido Bieringer (Hamburg University)

9:40 AM KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example - Florian Alexander Mausolf (Rheinisch Westfaelische Tech. Hoch. (DE))

10:00 AM ParticleNet: Calibration of the jet energy scale using pT regression with partial Run3 data collected by the CMS experiment - Matteo Malucchi (ETH Zurich (CH))
10:20 AM Coffee break
Coffee break
10:20 AM - 10:50 AM
10:50 AM
10:50 AM - 12:10 PM
Room: Amphi Charpak
Contributions

10:50 AM Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV with the CMS detector - Aritra Bal (KIT - Karlsruhe Institute of Technology (DE))

11:10 AM Efficient Resonant Anomaly Detection - Ranit Das (Rutgers University)

11:30 AM TRANSIT your events into a new mass: Fast background interpolation for semi-supervised anomaly detection searches - Ivan Oleksiyuk (UNIGE)
12:10 PM Lunch
Lunch
12:10 PM - 1:50 PM
1:50 PM
1:50 PM - 3:30 PM
Room: Salle Séminaires
Contributions

1:50 PM A Library for ML-based Fast Calorimeter Shower Simulation at Future Collider Experiments and Beyond - Peter McKeown (CERN)

2:10 PM Towards Detector Agnostic Fast Calorimetry Simulation - Piyush Raikwar (CERN)

2:30 PM CaloClouds III: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation - Anatolii Korol

2:50 PM Point-Clouds based Diffusion Model on Hadronic Showers - Martina Mozzanica (Hamburg University (DE))
1:50 PM - 3:30 PM
Room: Amphi Charpak
Contributions

1:50 PM OmniFoldHI: Advanced ML Unfolding for Heavy-Ion Data - Alexandre Falcão (University of Bergen)

2:10 PM Bridging the Generative Unfolding Gap - Sascha Diefenbacher (Lawrence Berkeley National Lab. (US))

2:30 PM Measurement of Jet Track Functions with OmniFold-based Binning Corrections in ATLAS Run 2 Data - Jingjing Pan (Yale University (US))

2:50 PM Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion - Kevin Thomas Greif (University of California Irvine (US))

3:10 PM How to Unfold Top Decays - Sofia Palacios Schweitzer (ITP, University Heidelberg)
3:30 PM Coffee break
Coffee break
3:30 PM - 4:00 PM
4:00 PM
4:00 PM - 5:40 PM
Room: Salle Séminaires
Contributions

4:00 PM Learning powerful jet representations via self-supervision - Shudong Wang (Chinese Academy of Sciences (CN))

4:20 PM OmniLearn: A Method to Simultaneously Facilitate All Jet Physics Tasks - Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))

4:40 PM OmniJet-alpha and beyond: foundation model updates - Anna Maria Cecilia Hallin (University of Hamburg)

5:00 PM A Novel Approach to Training Foundation Models for Jet-Related Tasks Without Vector Quantization - Masahiro Morinaga (University of Tokyo (JP))

5:20 PM Large-Scale Pretraining and Finetuning for Efficient Jet Classification in Particle Physics - Zihan Zhao (Univ. of California San Diego (US))
4:00 PM - 5:40 PM
Room: Amphi Charpak
Contributions

4:00 PM Advanced techniques for SBI in collider physics - Giovanni De Crescenzo (University of Heidelberg)

4:20 PM Towards Universal Unfolding using Denoising Diffusion - Martin Klassen (Tufts University (US))

4:40 PM Parameter Estimation with Neural Simulation-Based Inference in ATLAS - Arnaud Jean Maury (Université Paris-Saclay (FR))

5:00 PM Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production - Radha Mastandrea (University of California, Berkeley)

5:20 PM Gamma-ray spectrometry of fission fragments : ML analysis of multi-dimensional spectra - Mattéo Ballu
Friday, November 8, 2024
9:00 AM Astro
Astro
9:00 AM - 9:40 AM
Room: Amphi Charpak
Contributions

9:00 AM Implicit and Explicit Simulation-Based Inference for Cosmology - François LANUSSE
9:40 AM
9:40 AM - 10:20 AM
Room: Amphi Charpak
Contributions

9:40 AM ML assisted Event Reconstruction in the CMS Phase-2 High Granularity Calorimeter Endcap - Theo Cuisset (LLR / École Polytechnique (FR))

10:00 AM Resonant Searches as Cut and Count Experiments - Marie Hein (RWTH Aachen University)
10:20 AM Coffee break
Coffee break
10:20 AM - 10:50 AM
10:50 AM Theory Overview
Theory Overview
10:50 AM - 11:30 AM
Room: Amphi Charpak
Contributions

10:50 AM Theory Overview - Sven-Ludwig Krippendorf (LMU MUNICH)
11:30 AM
11:30 AM - 12:00 PM
Room: Amphi Charpak
Contributions

11:30 AM Closing remarks - Anja Butter (Centre National de la Recherche Scientifique (FR))

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