from Tuesday, July 6, 2021 (8:00 AM) to Thursday, July 8, 2021 (10:00 PM)

        : Sessions
    /     : Talks
        : Breaks
Jul 6, 2021
Jul 7, 2021
Jul 8, 2021
8:00 AM
Testing, Coffee, Welcome - Tilman Plehn (until 9:00 AM) ()
9:00 AM
New architectures - Matthew Dolan (University of Melbourne) Barry Dillon (University of Heidelberg) (until 10:20 AM) ()
9:00 AM SO(3)-equivariant Neural Network for b-tagging - Ema Catalina Smith   ()
9:20 AM Equivariant energy flow networks for jet tagging - Ayodele Ore (The University of Melbourne)   ()
9:40 AM SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention - Michael James Fenton (University of California Irvine (US))   ()
10:00 AM Particle Convolution for Jets - Chase Owen Shimmin (Yale University (US))   ()
10:20 AM
New architectures - Barry Dillon (University of Heidelberg) Matthew Dolan (University of Melbourne) (until 12:00 PM) ()
10:20 AM Linearized Optimal Transport for Jet Physics - Ms Tianji Cai (Department of Physics, University of California, Santa Barbara)   ()
10:40 AM Supervised Attention for Jet Classification - Jonathan Shlomi (Weizmann Institute of Science (IL))   ()
11:00 AM The information content of quenched jets - James Mulligan (University of California, Berkeley (US))   ()
11:20 AM Identifying Heavy-Flavor Jets Using Vectors of Locally Aggregated Descriptors - Jitka Mrazkova   ()
11:40 AM A new approach to unsupervised learning in jet physics - Peter Rangi Sorrenson (Universität Heidelberg)   ()
9:00 AM
Classification - Maurizio Pierini (CERN) Shih-Chieh Hsu (University of Washington Seattle (US)) (until 12:00 PM) ()
9:00 AM Combine and Conquer: Event Reconstruction with Bayesian Ensemble Neural Networks - Jack Araz (IPPP - Durham University)   ()
9:20 AM Pushing the limit of jet tagging with graph neural networks - Huilin Qu (CERN)   ()
9:40 AM Jet tagging in the Lund plane with graph networks - Dr Frederic Alexandre Dreyer (University of Oxford)   ()
10:00 AM Higgs tagging with the Lund jet plane - Charanjit Kaur Khosa (University of Genova and INFN Genova)   ()
10:20 AM Identifying the Quantum Properties of Hadronic Resonances using Machine Learning - Jakub Filipek (University of Washington)   ()
10:40 AM Morphology for Jet Classification - Sung Hak Lim (Rutgers University)   ()
11:00 AM Boosted jet tagging in CMS - Congqiao Li (Peking University (CN))   ()
11:20 AM A $W^\pm$ polarization analyzer from Deep Neural Networks - Taegyun Kim (University of Notre Dame)   ()
11:40 AM Testing Universality in various Monte Carlo Generators in Deep Learning with Application in Higgs-boson pair searches in 2HDM - Mr Yi-Lun Chung (National Tsing Hua University (TW))   ()
9:00 AM
Exploring the Latent Structure of Data - Jean-Roch Vlimant (California Institute of Technology (US)) Anja Butter (until 10:20 AM) ()
9:00 AM Learning Symmetries and Conserved Quantities of Physical Systems - Sven Krippendorf   ()
9:20 AM Bump Hunting in Latent Space - Aleks Smolkovic (Jozef Stefan Institute Ljubljana)   ()
9:40 AM Symmetry Discovery with Deep Learning - Krish Desai (University of California, Berkeley)   ()
10:00 AM The Blessing of Dimensionality: Dimensionality Estimation for Event Clustering - Malte Jacobsen (Hamburg University (DE))   ()
10:20 AM
Exploring the Latent Structure of Data - Jean-Roch Vlimant (California Institute of Technology (US)) Anja Butter (until 12:00 PM) ()
10:20 AM Detecting hidden patterns in jet substructure with probabilistic models - Darius Faroughy (University of Zurich)   ()
10:40 AM Attention and Dynamic Graph Convolution Neural Network in the context of classifying ttH(bb) vs. tt(bb) in the semi-leptonic top quark pair decay channel - Christina Reissel (ETH Zurich (CH))   ()
11:00 AM Better latent spaces for better autoencoders - Dr Barry Dillon (University of Heidelberg)   ()
11:20 AM Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network - Erik Buhmann (Hamburg University (DE))   ()
11:40 AM Jet Topology - Sijun Xu (Hong Kong University of Science and Technology)   ()
2:00 PM
BSM - Caterina Doglioni (Lund University (SE)) Mihoko Nojiri (Theory Center, IPNS, KEK) (until 3:20 PM) ()
2:00 PM High-dimensional Anomaly Detection with Radiative Return in e+e- Collisions - Julia Lynne Gonski (Columbia University (US))   ()
2:20 PM CATHODE part 1: introducing a new model-agnostic search strategy for resonant new physics at the LHC - Anna Hallin (Test IDP - Rutgers, The State University of New Jerse)   ()
2:40 PM CATHODE part 2: robustness and comparison to other methods - Manuel Sommerhalder (Hamburg University (DE))   ()
3:00 PM Anomaly Detection in the Copula Space - Tommaso Dorigo (Universita e INFN, Padova (IT))   ()
2:00 PM
ML-Assisted Measurements and Searches - Matthew Schwartz Vinicius Massami Mikuni (Universitaet Zuerich (CH)) (until 6:00 PM) ()
2:00 PM Invertible Neural Networks beyond Particle Physics - Lynton Ardizzone (Heidelberg)   ()
2:40 PM Combining Neural Network predictions with Hypothesis Testing for discovery in the LHC - Michael Soughton (University of Sussex)   ()
3:00 PM Invertible Networks or Partons to Detector and Back Again - Anja Butter   ()
3:20 PM Towards a new generation of PDFs using ML - Roy Stegeman (University of Milan)   ()
3:40 PM Emerging techniques for sampling, searching, and summing over the combinatorially large space of shower histories - Sebastian Macaluso (New York University)   ()
4:00 PM Tuning the parton shower parameters with the marginal likelihood - Matthew Drnevich (New York University (US))   ()
4:20 PM Computing the exact optimal classifier for Ginkgo jets - Lauren Greenspan (NYU)   ()
4:40 PM Parametrized classifiers for optimal EFT sensitivity - Alfredo Glioti (EPFL - Ecole Polytechnique Federale Lausanne (CH))   ()
5:00 PM Measuring QCD Splittings with Invertible Networks - Theo Heimel (Universität Heidelberg)   ()
5:20 PM Jet-based TMD measurements with H1 data, unfolded using machine-learning techniques - Miguel Ignacio Arratia Munoz Miguel Ignacio Arratia Munoz (Lawrence Berkeley National Lab. (US))   ()
5:40 PM Parameter Inference from Event Ensembles and the Top-Quark Mass - Katherine Fraser (Harvard University)   ()
3:20 PM
BSM - Mihoko Nojiri (Theory Center, IPNS, KEK) Caterina Doglioni (Lund University (SE)) (until 4:40 PM) ()
3:20 PM Jet Metrics and Autoencoders - Rashmish Mishra (Harvard University)   ()
3:40 PM Detecting Anomalous jets with Graph Neural Networks - Mr Vishal Singh Ngairangbam (Physical Research Laboratory)   ()
4:00 PM Review of the Dark Machine Anomaly Score Challenge I - Joe Davies   ()
4:20 PM Review of the Dark Machine Anomaly Score Challenge II - Bryan Ostdiek (Harvard University)   ()
4:40 PM
BSM - Mihoko Nojiri (Theory Center, IPNS, KEK) Caterina Doglioni (Lund University (SE)) (until 6:00 PM) ()
4:40 PM Boosting new physics sensitivity with Variational Autoencoders - Kinga Anna Wozniak (University of Vienna (AT))   ()
5:00 PM Autoencoders for unsupervised anomaly detection in high energy physics - Thorben Finke   ()
5:20 PM Recognizing hadronic SUEP at the LHC with Unsupervised Machine Learning - Jared Barron (University of Toronto)   ()
5:40 PM Classifier-based Anomalous Jet Tagging - Taoli Cheng (University of Montreal)   ()
8:00 PM
Compression - Javier Mauricio Duarte (Univ. of California San Diego (US)) Frederic Alexandre Dreyer (University of Oxford) (until 9:20 PM) ()
8:00 PM Latent Space Refinement for Deep Generative Models - Ramon Winterhalder (ITP Heidelberg)   ()
8:20 PM Compressing PDF sets using Generative Adversarial Networks - Tanjona Radonirina Rabemananjara (INFN - National Institute for Nuclear Physics)   ()
8:40 PM Exploring phase space with Neural Importance Sampling - Timo Janßen (Georg-August-Universität Göttingen)   ()
9:00 PM Lorentz Group Equivariant Autoencoder - Zichun Hao (Univ. of California San Diego (US))   ()
2:00 PM
Regression, Calibration, and Fast Inference - Ines Ochoa (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part) Jennifer Ngadiuba (FNAL) (until 3:20 PM) ()
2:00 PM Machine learning based Particle Flow algorithm and application of super-resolution techniques - Sanmay Ganguly (Weizmann Institute of Science (IL))   ()
2:20 PM Using Machine Learning for Heavy-Ion Jet $p_{\rm T}$ Reconstruction in ALICE - Hannah Bossi (Yale University (US))   ()
2:40 PM Learning Uncertainties the Frequentist Way: Calibration and Correlation in High Energy Physics - Rikab Gambhir (MIT)   ()
3:00 PM ML in jet physics beyond classification - Loukas Gouskos (CERN)   ()
2:00 PM
Simulation and Generative Models - Ramon Winterhalder (Universität Heidelberg) Dalila Salamani (CERN) (until 3:40 PM) ()
2:00 PM CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows - Dr Claudius Krause (Rutgers University)   ()
2:20 PM Multi-detector geomotery modeling and Geant4 Integration - Dalila Salamani (CERN)   ()
2:40 PM Angular Conditioning of Deep Generative Models for Fast Simulation of High Granularity Calorimeters - Peter McKeown (Deutsches Elektronen-Synchrotron DESY)   ()
3:00 PM Fast and Accurate Electromagnetic and Hadronic Showers from Generative Models - Engin Eren (Deutsches Elektronen-Synchrotron DESY)   ()
3:20 PM AtlFast3: The next generation of fast simulation in ATLAS - Joshua Falco Beirer (CERN, Georg-August-Universitaet Goettingen (DE))   ()
3:20 PM
Regression, Calibration, and Fast Inference - Jennifer Ngadiuba (FNAL) Ines Ochoa (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part) (until 4:40 PM) ()
3:20 PM Pileup mitigation in CMS - Benedikt Maier   ()
3:40 PM Lightweight Jet Reconstruction as an Object Detection Task - Adrian Alan Pol (CERN)   ()
4:00 PM Measurement of Muon Energy From Radiative Losses in a Granular Calorimeter - Giles Chatham Strong (Universita e INFN, Padova (IT))   ()
4:20 PM Deep learning jet modifications in heavy-ion collisions - Dr Yilun Du (University of Bergen)   ()
3:40 PM
Simulation and Generative Models - Dalila Salamani (CERN) Ramon Winterhalder (Universität Heidelberg) (until 6:00 PM) ()
3:40 PM Fast Simulation of Jets with VAEs - Mary Touranakou (National and Kapodistrian University of Athens (GR))   ()
4:00 PM Foundations of a Fast, Data-Driven, Machine-Learned Simulator - Jessica N. Howard (Department of Physics & Astronomy, UC Irvine) Jessica N. Howard (University of California Irvine (US))   ()
4:20 PM Particle Cloud Generation with Message Passing GANs - Raghav Kansal (Univ. of California San Diego (US))   ()
4:40 PM White Box AI for parton shower development - Felix Ringer (Lawrence Berkeley National Laboratory)   ()
5:00 PM How to GAN Event Unweighting - Mr Mathias Backes (Uni Heidelberg)   ()
5:20 PM Sparse Data Generation with Convolutional VAE - Breno Orzari (UNESP - Universidade Estadual Paulista (BR))   ()
5:40 PM Super-Resolution for QCD and Top Jets - Lukas Blecher (Universität Heidelberg)   ()
4:40 PM
Regression, Calibration, and Fast Inference - Ines Ochoa (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part) Jennifer Ngadiuba (FNAL) (until 5:40 PM) ()
4:40 PM Matrix Element Calculations on the GPU - Joshua Isaacson (Fermilab)   ()
5:00 PM Jet Identification in L1 Trigger at HL-LHC based on DNN implementation on FPGA - Dr Andre Sznajder (UERJ (Brazil))   ()
5:20 PM OnlineFlow: Trigger Free Analysis Using Online Learned Generative Models - Sascha Daniel Diefenbacher (Hamburg University (DE))   ()
8:00 PM
Datasets - Tobias Golling (Universite de Geneve (CH)) Gregor Kasieczka (Hamburg University (DE)) (until 9:40 PM) ()
8:00 PM Implementation of Jupyter Notebooks into The Reproducible Open Benchmarks for Data Analysis Platform (ROB) - Aaron Wang Heiko Mueller   ()
8:20 PM Shared Data and Algorithms for Deep Learning in Fundamental Physics - William Korcari (Hamburg University (DE))   ()
8:40 PM Introduction to Anomaly Detection Challenge - Katya Govorkova (CERN)   ()
9:00 PM Calorimeter Simulation Challenge Proposal - David Shih (Rutgers University)   ()
9:20 PM --- Discussion ---
2:00 PM
Interpretability, Robustness, and Uncertainties - Daniel Whiteson (University of California Irvine (US)) Chase Owen Shimmin (Yale University (US)) (until 2:40 PM) ()
2:00 PM Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes - Manuel Haußmann (Universität Heidelberg)   ()
2:40 PM
Interpretability, Robustness, and Uncertainties - Daniel Whiteson (University of California Irvine (US)) Chase Owen Shimmin (Yale University (US)) (until 4:00 PM) ()
2:40 PM Uncertainties Associated with GAN Generated Datasets - Prasanth Shyamsundar (Fermi National Accelerator Laboratory)   ()
3:00 PM Generative Networks with Uncertainties - Tilman Plehn Michel Luchmann   ()
3:20 PM Uncertainty Aware Learning for High Energy Physics - Aishik Ghosh (University of California Irvine (US))   ()
3:40 PM Amplifying Statistics with Generative Models - Sebastian Bieringer   ()
4:00 PM
Interpretability, Robustness, and Uncertainties - Chase Owen Shimmin (Yale University (US)) Daniel Whiteson (University of California Irvine (US)) (until 4:40 PM) ()
4:00 PM Safety of Quark/Gluon Jet Classification - Alexis Romero   ()
4:20 PM Thoughts on the expressive power and inductive bias of DeepSets and Tree-Based models - Kyle Stuart Cranmer (New York University (US))   ()
4:40 PM
Interpretability, Robustness, and Uncertainties - Chase Owen Shimmin (Yale University (US)) Daniel Whiteson (University of California Irvine (US)) (until 6:00 PM) ()
4:40 PM Explainable AI for ML Jet Taggers - Christine Angela McLean (SUNY Buffalo)   ()
5:00 PM Bayesian Inference in for Four Tops at the LHC - Ezequiel Alvarez de los Alvarez de San Luis   ()
5:20 PM Spectral Clustering for Jet Formation - Henry Day-Hall (University of Southampton)   ()
5:40 PM Deep-Learned Event Variables - Doojin Kim (Texas A & M University (US))   ()
8:00 PM
New Horizons - Tilman Plehn David Shih (Rutgers University) (until 9:45 PM) ()
8:00 PM ML in Cosmological Simulations - Annalisa Pillepich   ()
8:40 PM Conditional invertible neural networks to probe cosmic-ray sources - Josina Schulte (RWTH Aachen University)   ()
9:00 PM Via Machinae - Matthew Buckley (Rutgers University)   ()
9:20 PM Synergies between Quantum Computing and Machine Learning - Michael Spannowsky (University of Durham (GB))   ()
9:45 PM Closeout and ML4Jets2022 - David Shih (Rutgers University) Tilman Plehn Ben Nachman (Lawrence Berkeley National Lab. (US))   ()