ML4Jets2022

from Tuesday, November 1, 2022 (8:00 AM) to Friday, November 4, 2022 (5:50 PM)
Rutgers University (Multipurpose Room (aka Livingston Hall))

        : Sessions
    /     : Talks
        : Breaks
Nov 1, 2022
Nov 2, 2022
Nov 3, 2022
Nov 4, 2022
AM
8:00 AM Registration   (Multipurpose Room (aka Livingston Hall))
9:00 AM
Welcome and Introduction - Ben Nachman (Lawrence Berkeley National Lab. (US)) Matthew Buckley (until 10:45 AM) (Multipurpose Room (aka Livingston Hall))
9:00 AM Welcome from Local Organizers - Dean Thu Nguyen (Rutgers University) David Shih   (Multipurpose Room (aka Livingston Hall))
9:15 AM Experimental Opening I - Petar Maksimovic (Johns Hopkins University (US))   (Multipurpose Room (aka Livingston Hall))
9:45 AM Experimental Opening II - Tobias Golling (Universite de Geneve (CH))   (Multipurpose Room (aka Livingston Hall))
10:15 AM Theory Opening - Ian James Moult   (Multipurpose Room (aka Livingston Hall))
10:45 AM --- Coffee ---
11:15 AM
Equivariance and New Architectures - Darius Faroughy (University of Zurich) Petar Maksimovic (Johns Hopkins University (US)) (until 12:35 PM) (Multipurpose Room (aka Livingston Hall))
11:15 AM Does Lorentz-symmetric design boost network performance in jet physics? - Congqiao Li (Peking University (CN))   (Multipurpose Room (aka Livingston Hall))
11:35 AM Transformer models for heavy flavor jet identification in CMS - Sitian Qian (Peking University (CN))   (Multipurpose Room (aka Livingston Hall))
11:55 AM A Holistic Approach to Predicting Top Quark Kinematic Properties with the Covariant Particle Transformer - Shikai Qiu (Lawrence Berkeley National Lab. (US))   (Multipurpose Room (aka Livingston Hall))
12:15 PM Equivariant Neural Networks for Particle Physics: PELICAN - Alexander Bogatskiy (Flatiron Institute, Simons Foundation)   (Multipurpose Room (aka Livingston Hall))
9:00 AM
Anomaly Detection - Dylan Sheldon Rankin (Massachusetts Inst. of Technology (US)) Elham E Khoda (University of Washington (US)) (until 10:45 AM) (Multipurpose Room (aka Livingston Hall))
9:00 AM Introduction to Anomaly Detection - Dr Barry Dillon (University of Heidelberg)   (Multipurpose Room (aka Livingston Hall))
9:25 AM Results from Unsupervised Machine Learning in an ATLAS Dijet Resonance Search - Julia Lynne Gonski (Columbia University (US))   (Multipurpose Room (aka Livingston Hall))
9:45 AM A Normalized Autoencoder for LHC triggers - Luigi Favaro   (Multipurpose Room (aka Livingston Hall))
10:05 AM Robust anomaly detection using NuRD - Abhijith Gandrakota (Fermi National Accelerator Lab. (US))   (Multipurpose Room (aka Livingston Hall))
10:25 AM Challenges for unsupervised anomaly detection in particle physics - Katherine Fraser (Harvard University)   (Multipurpose Room (aka Livingston Hall))
10:45 AM --- Coffee ---
11:15 AM
ML Keynote Talk - David Shih Dr Claudius Krause (Rutgers University) (until 12:40 PM) (Multipurpose Room (aka Livingston Hall))
11:15 AM ML Keynote Talk -- Generative models, manifolds and symmetries: From QFT to molecules - Danilo Rezende   (Multipurpose Room (aka Livingston Hall))
11:55 AM Panel Discussion - Tilman Plehn Savannah Jennifer Thais (Princeton University (US)) Nick Dunn (Two Sigma) Jesse Thaler (MIT) David Shih Danilo Rezende   (Multipurpose Room (aka Livingston Hall))
9:00 AM
Classification - Sung Hak Lim (Rutgers University) Prof. Cheng-Wei Chiang (National Taiwan University) (until 10:40 AM) (Multipurpose Room (aka Livingston Hall))
9:00 AM Recent ML-usage in searches with boosted jets in CMS - Oz Amram (Johns Hopkins University (US))   (Multipurpose Room (aka Livingston Hall))
9:20 AM Constituent-Based Top-Quark Tagging with the ATLAS Detector - Kevin Thomas Greif (University of California Irvine (US))   (Multipurpose Room (aka Livingston Hall))
9:40 AM Adversarial training for b-tagging algorithms in CMS - CMS Collaboration (CMS Experiment, CERN) Annika Stein (Rheinisch Westfaelische Tech. Hoch. (DE))   (Multipurpose Room (aka Livingston Hall))
10:00 AM Truth tagging for efficiency parametrization of b-jets using Graph Neural Networks - Krunal Bipin Gedia (ETH Zurich (CH))   (Multipurpose Room (aka Livingston Hall))
10:20 AM Heterogeneous Graph Representation for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC - Xiangyang Ju (Lawrence Berkeley National Lab. (US)) Andris Huang (University of California-Berkeley)   (Multipurpose Room (aka Livingston Hall))
9:00 AM
Measurement - Eva Halkiadakis (Rutgers State Univ. of New Jersey (US)) Manuel Szewc (until 10:40 AM) (202ABC)
9:00 AM Multi-differential Jet Substructure Measurement in High $Q^{2}$ Deep-Inelastic Scattering with the H1 Detector - Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))   (202ABC)
9:20 AM Machine learning for top physics in CMS - Philip Daniel Keicher (Hamburg University (DE))   (202ABC)
9:40 AM ML Unfolding based on conditional Invertible Neural Networks using iterative training - Mathias Josef Backes (Universität Heidelberg)   (202ABC)
10:00 AM Moment Unfolding using Deep Learning - Krish Desai   (202ABC)
10:20 AM Invertible Networks for the Matrix Element Method - Theo Heimel (Heidelberg University)   (202ABC)
10:40 AM --- Coffee ---
11:10 AM
Classification - Michael David Sokoloff (University of Cincinnati (US)) Johnny Raine (Universite de Geneve (CH)) (until 12:50 PM) (Multipurpose Room (aka Livingston Hall))
11:10 AM Identification of hadronic tau decays using a deep neural network with the CMS experiment at LHC - Mykyta Shchedrolosiev (Deutsches Elektronen-Synchrotron (DE))   (Multipurpose Room (aka Livingston Hall))
11:30 AM Robust Signal Detection using a Classifier Decorrelated through Optimal Transport (CDOT) - Purvasha Chakravarti (University College London)   (Multipurpose Room (aka Livingston Hall))
11:50 AM VBF vs. GGF Higgs with Full-Event Deep Learning: Towards a Decay-Agnostic Tagger - Cheng-Wei Chiang (National Taiwan University)   (Multipurpose Room (aka Livingston Hall))
12:10 PM Machine learning based jet and event classification at the Electron-Ion Collider - James Mulligan (University of California, Berkeley (US))   (Multipurpose Room (aka Livingston Hall))
12:30 PM Search for dimuon events in IceCube using decision trees - Nakul Aggarwal (University of Alberta)   (Multipurpose Room (aka Livingston Hall))
11:10 AM
Measurement - Jesse Thaler (MIT) Oz Amram (Johns Hopkins University (US)) (until 12:50 PM) (202ABC)
11:10 AM Constraining quark and gluon jet energy loss distributions in quark-gluon plasma using Bayesian inference - Alexandre Falcão (University of Bergen)   (202ABC)
11:30 AM Estimating Uncertainties for Trained Neural Networks - Sebastian Guido Bieringer (Hamburg University)   (202ABC)
11:50 AM How can Bayesian networks be used for uncertainty quantification in particle physics? - Christina Peters (University of Delaware)   (202ABC)
12:10 PM Using Machine Learning to Improve our Understanding of the Jet Background in Nucleus-Nucleus Collisions. - Tanner Mengel (University of Tennessee)   (202ABC)
12:30 PM Loop Amplitudes from Precision Networks - Tilman Plehn   (202ABC)
9:00 AM
Interpretability - Prasanth Shyamsundar (Fermi National Accelerator Laboratory) Savannah Jennifer Thais (Princeton University (US)) (until 10:40 AM) (Multipurpose Room (aka Livingston Hall))
9:00 AM Infra-red and collinear safe Graph Neural Networks - Vishal Singh Ngairangbam   (Multipurpose Room (aka Livingston Hall))
9:20 AM Resilience of Quark-Gluon Tagging - Lorenz Vogel (ITP, Heidelberg University)   (Multipurpose Room (aka Livingston Hall))
9:40 AM Boost-Invariant Polynomials: an efficient and interpretable approach to jet tagging - Mr Jose Miguel Munoz Arias (EIA University)   (Multipurpose Room (aka Livingston Hall))
10:00 AM Learning to Identify Semi-Visible Jets - Taylor James Faucett (University of California, Irvine)   (Multipurpose Room (aka Livingston Hall))
10:20 AM Feature selection with Distance Correlation - RANIT DAS   (Multipurpose Room (aka Livingston Hall))
9:00 AM
Reconstruction - Christina Peters (University of Delaware) Prof. Joel Walker (Sam Houston State University) (until 10:40 AM) (202ABC)
9:00 AM Machine learning for particle flow at CMS - Dylan Sheldon Rankin (Massachusetts Inst. of Technology (US))   (202ABC)
9:20 AM Point Cloud Deep Learning Methods for Pion Reconstruction in the ATLAS Experiment - Piyush Karande (Lawrence Livermore National Laboratory)   (202ABC)
9:40 AM 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 Optimal transport solutions for pileup mitigation at hadron colliders - Fabio Iemmi (Chinese Academy of Sciences (CN))   (202ABC)
10:20 AM ν-flows: Conditional neutrino momentum regression - Mr Matthew Leigh (University of Geneva)   (202ABC)
10:40 AM --- Coffee ---
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 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 Can You Hear the Shape of a Jet? - Rikab Gambhir (MIT)   (Multipurpose Room (aka Livingston Hall))
12:30 PM Neural Estimation of Energy Movers Distance - Ouail Kitouni (Massachusetts Inst. of Technology (US))   (Multipurpose Room (aka Livingston Hall))
11:10 AM
Reconstruction - Julia Lynne Gonski (Columbia University (US)) Etienne Dreyer (Weizmann Institute of Science (IL)) (until 12:50 PM) (202ABC)
11:10 AM Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC - Michael David Sokoloff (University of Cincinnati (US))   (202ABC)
11:30 AM 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 Likelihood-Free Frequentist Inference for Calorimetric Muon Energy Measurement - Luca Masserano (Carnegie Mellon University)   (202ABC)
12:10 PM A boosted kNN regressor with 66 million parameters - Tommaso Dorigo (Universita e INFN, Padova (IT))   (202ABC)
12:30 PM Jet SIFT-ing - Joel Walker (Sam Houston State University)   (202ABC)
PM
12:35 PM --- Lunch ---
2:00 PM
Equivariance and New Architectures - Chase Owen Shimmin (Yale University (US)) Tobias Golling (Universite de Geneve (CH)) (until 3:40 PM) (Multipurpose Room (aka Livingston Hall))
2:00 PM Symmetries, Safety, and Self-Supervision - Peter Rangi Sorrenson (Universität Heidelberg)   (Multipurpose Room (aka Livingston Hall))
2:20 PM Transformer Architectures for Quenched Jet Tagging - Mr João Pedro de Arruda Gonçalves (LIP)   (Multipurpose Room (aka Livingston Hall))
2:40 PM Topological Data Analysis for Collider Events - Tianji Cai (University of California, Santa Barbara)   (Multipurpose Room (aka Livingston Hall))
3:00 PM Solving Combinatorial Problems in Multijet Signatures Using Machine Learning - Lawrence Lee Jr (University of Tennessee (US))   (Multipurpose Room (aka Livingston Hall))
3:20 PM Equivariant Point Cloud Generation for Particle Jets - Erik Buhmann (Hamburg University (DE))   (Multipurpose Room (aka Livingston Hall))
3:40 PM --- Coffee ---
4:10 PM
Generative Models -- Particle Level - Marat Freytsis (Rutgers University) Tilman Plehn (until 5:50 PM) (Multipurpose Room (aka Livingston Hall))
4:10 PM Particle Cloud Generation - Raghav Kansal (Univ. of California San Diego (US))   (Multipurpose Room (aka Livingston Hall))
4:30 PM Point Cloud Generation using Transformer Encoders and Normalising Flows - Benno Kach (Deutsches Elektronen-Synchrotron (DE))   (Multipurpose Room (aka Livingston Hall))
4:50 PM Conditional generative networks for pure quark and gluon jets - Ayodele Ore   (Multipurpose Room (aka Livingston Hall))
5:10 PM Modeling Hadronization with Machine Learning - Manuel Szewc   (Multipurpose Room (aka Livingston Hall))
5:30 PM MadNIS: Neural networks for multi-channel integration - Ramon Winterhalder (UC Louvain)   (Multipurpose Room (aka Livingston Hall))
6:15 PM --- Reception ---
12:40 PM --- Lunch ---
2:15 PM
Generative Models -- Detector Level - Kevin Pedro (Fermi National Accelerator Lab. (US)) Ramon Winterhalder (UC Louvain) (until 4:00 PM) (Multipurpose Room (aka Livingston Hall))
2:15 PM Introduction to Generative Models for Fast Detector Simulation - Dr Claudius Krause (Rutgers University)   (Multipurpose Room (aka Livingston Hall))
2:40 PM AtlFast3, the new ATLAS fast simulation tool - Michele Faucci Giannelli (INFN e Universita Roma Tor Vergata (IT))   (Multipurpose Room (aka Livingston Hall))
3:00 PM CaloFlow for CaloChallenge - Yi En Ian Pang Ian Pang (Rutgers)   (Multipurpose Room (aka Livingston Hall))
3:20 PM Score-based Generative Models for Calorimeter Shower Simulation - Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))   (Multipurpose Room (aka Livingston Hall))
3:40 PM CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds - Jesse Cresswell (Layer 6 AI)   (Multipurpose Room (aka Livingston Hall))
4:00 PM --- Coffee ---
4:30 PM
Generative Models -- Detector Level -Dr Claudius Krause (Rutgers University) Michele Faucci Giannelli (INFN e Universita Roma Tor Vergata (IT)) (until 6:00 PM) (Multipurpose Room (aka Livingston Hall))
4:30 PM Generative Models for Fast Simulation of Electromagnetic and Hadronic Showers in Highly Granular Calorimeters - Sascha Daniel Diefenbacher (Hamburg University (DE))   (Multipurpose Room (aka Livingston Hall))
4:50 PM Fast calorimeter simulation with VQVAE - Chase Owen Shimmin (Yale University (US))   (Multipurpose Room (aka Livingston Hall))
5:10 PM IEA-GAN: Intra-Event Aware GAN with Relational Reasoning for the Fast Detector Simulation - Dr Nikolai Hartmann (LMU Munich) Hosein Hashemi (LMU Munich)   (Multipurpose Room (aka Livingston Hall))
5:30 PM Discussion   (Multipurpose Room (aka Livingston Hall))
12:50 PM --- Lunch ---
2:00 PM
Anomaly Detection -Dr Barry Dillon (University of Heidelberg) Lawrence Lee Jr (University of Tennessee (US)) (until 3:40 PM) (Multipurpose Room (aka Livingston Hall))
2:00 PM CURTAINs for your Sliding Window: Constructing Unobserved Regions by Transporting Adjacent INtervals - Johnny Raine (Universite de Geneve (CH))   (Multipurpose Room (aka Livingston Hall))
2:20 PM Generative Models for Resonant Anomaly Detection - Elham E Khoda (University of Washington (US))   (Multipurpose Room (aka Livingston Hall))
2:40 PM HEP-Sim2Real: creating background templates with normalizing flows - Radha Mastandrea (University of California, Berkeley)   (Multipurpose Room (aka Livingston Hall))
3:00 PM Weakly supervised methods for LHC analyses - Thorben Finke   (Multipurpose Room (aka Livingston Hall))
3:20 PM Resonant anomaly detection without background sculpting - Manuel Sommerhalder (Hamburg University (DE))   (Multipurpose Room (aka Livingston Hall))
3:40 PM --- Coffee ---
4:10 PM
Beyond Jets - Mariel Pettee (Lawrence Berkeley National Lab. (US)) David Shih (until 6:10 PM) (Multipurpose Room (aka Livingston Hall))
4:10 PM Overview of ML for Gravitational Waves - Eric Anton Moreno (Massachusetts Institute of Technology (US))   (Multipurpose Room (aka Livingston Hall))
4:40 PM Overview of ML for Gaia - Matthew Buckley   (Multipurpose Room (aka Livingston Hall))
5:10 PM Overview of ML for Astro/Cosmo - Miles Cranmer (Princeton)   (Multipurpose Room (aka Livingston Hall))
5:40 PM Overview of ML for Neutrinos - Fernanda Psihas (Fermi National Accelerator Laboratory)   (Multipurpose Room (aka Livingston Hall))
7:00 PM --- Conference Dinner ---
12:50 PM --- Lunch ---
2:00 PM
Anomaly Detection - David Shih Yuri Gershtein (Rutgers State Univ. of New Jersey (US)) (until 3:20 PM) (Multipurpose Room (aka Livingston Hall))
2:00 PM Anomaly detection in a perspective of interdisciplinary research - Taoli Cheng (University of Montreal)   (Multipurpose Room (aka Livingston Hall))
2:20 PM Optimal Mass Variables for Semivisible Jets - Kevin Pedro (Fermi National Accelerator Lab. (US))   (Multipurpose Room (aka Livingston Hall))
2:40 PM Neural Embedding: Learning the Embedding of the Manifold of Physics Data - Sang Eon Park (Massachusetts Inst. of Technology (US))   (Multipurpose Room (aka Livingston Hall))
3:00 PM Hunting for signals using Gaussian Process regression - Abhijith Gandrakota (Fermi National Accelerator Lab. (US))   (Multipurpose Room (aka Livingston Hall))
3:20 PM Closing - David Shih Manuel Sommerhalder (Hamburg University (DE))   (Multipurpose Room (aka Livingston Hall))