Energy flow networks: deep sets for particle jets PT Komiske, EM Metodiev, J Thaler
Journal of High Energy Physics 2019 (1), 1-46, 2019
377 2019 Deep learning in color: towards automated quark/gluon jet discrimination PT Komiske, EM Metodiev, MD Schwartz
Journal of High Energy Physics 2017 (1), 1-23, 2017
367 2017 The machine learning landscape of top taggers G Kasieczka, T Plehn, A Butter, K Cranmer, D Debnath, BM Dillon, ...
SciPost Physics 7 (1), 014, 2019
288 2019 Energy flow polynomials: A complete linear basis for jet substructure PT Komiske, EM Metodiev, J Thaler
Journal of High Energy Physics 2018 (4), 1-54, 2018
203 2018 The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics G Kasieczka, B Nachman, D Shih, O Amram, A Andreassen, ...
Reports on progress in physics 84 (12), 124201, 2021
195 2021 OmniFold: a method to simultaneously unfold all observables A Andreassen, PT Komiske, EM Metodiev, B Nachman, J Thaler
Physical review letters 124 (18), 182001, 2020
179 2020 Metric space of collider events PT Komiske, EM Metodiev, J Thaler
Physical review letters 123 (4), 041801, 2019
159 2019 Pileup mitigation with machine learning (PUMML) PT Komiske, EM Metodiev, B Nachman, MD Schwartz
Journal of High Energy Physics 2017 (12), 1-20, 2017
127 2017 Learning to classify from impure samples with high-dimensional data PT Komiske, EM Metodiev, B Nachman, MD Schwartz
Physical Review D 98 (1), 011502, 2018
107 2018 Analyzing PT Komiske, I Moult, J Thaler, HX Zhu
Physical Review Letters 130 (5), 051901, 2023
93 2023 An operational definition of quark and gluon jets PT Komiske, EM Metodiev, J Thaler
Journal of High Energy Physics 2018 (11), 1-36, 2018
90 2018 The hidden geometry of particle collisions PT Komiske, EM Metodiev, J Thaler
Journal of High Energy Physics 2020 (7), 1-53, 2020
71 2020 Exploring the space of jets with CMS open data PT Komiske, R Mastandrea, EM Metodiev, P Naik, J Thaler
Physical Review D 101 (3), 034009, 2020
62 2020 Disentangling quarks and gluons in CMS open data PT Komiske, S Kryhin, J Thaler
Physical Review D 106 (9), 094021, 2022
33 2022 Scaffolding simulations with deep learning for high-dimensional deconvolution A Andreassen, PT Komiske, EM Metodiev, B Nachman, A Suresh, ...
arXiv preprint arXiv:2105.04448, 2021
29 2021 Cutting multiparticle correlators down to size PT Komiske, EM Metodiev, J Thaler
Physical Review D 101 (3), 036019, 2020
24 2020 Preserving new physics while simultaneously unfolding all observables P Komiske, WP McCormack, B Nachman
Physical Review D 104 (7), 076027, 2021
9 2021 Learning to remove Pileup at the LHC with Jet Images PT Komiske, EM Metodiev, B Nachman, MD Schwartz
Journal of Physics: Conference Series 1085 (4), 042010, 2018
9 2018 Pileup and Infrared Radiation Annihilation (PIRANHA): a paradigm for continuous jet grooming S Alipour-Fard, PT Komiske, EM Metodiev, J Thaler
Journal of High Energy Physics 2023 (9), 1-81, 2023
7 2023 Degeneracy engineering for classical and quantum annealing: A case study of sparse linear regression in collider physics ER Anschuetz, L Funcke, PT Komiske, S Kryhin, J Thaler
Physical Review D 106 (5), 056008, 2022
2 2022 
Eric M. MetodievMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu