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Sebastian Macaluso
Sebastian Macaluso
Postdoctoral Associate, Physics Department, New York University
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
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
1622019
Pulling out all the tops with computer vision and deep learning
S Macaluso, D Shih
Journal of High Energy Physics 2018 (10), 1-27, 2018
1502018
Revealing compressed stops using high-momentum recoils
S Macaluso, M Park, D Shih, B Tweedie
Journal of High Energy Physics 2016 (3), 1-16, 2016
692016
Cornering natural SUSY at LHC Run II and beyond
MR Buckley, D Feld, S Macaluso, A Monteux, D Shih
Journal of High Energy Physics 2017 (8), 1-34, 2017
572017
Deep inelastic scattering from holographic spin-one hadrons
E Koile, S Macaluso, M Schvellinger
Journal of High Energy Physics 2012 (2), 1-37, 2012
202012
Deep inelastic scattering structure functions of holographic spin-1 hadrons with N f≥ 1
E Koile, S Macaluso, M Schvellinger
Journal of High Energy Physics 2014 (1), 1-41, 2014
192014
Dark matter and the Higgs in natural SUSY
A Basirnia, S Macaluso, D Shih
Journal of High Energy Physics 2017 (3), 1-32, 2017
122017
Reframing jet physics with new computational methods
K Cranmer, M Drnevich, S Macaluso, D Pappadopulo
EPJ Web of Conferences 251, 03059, 2021
72021
Compact Representation of Uncertainty in Hierarchical Clustering
CS Greenberg, S Macaluso, N Monath, JA Lee, P Flaherty, K Cranmer, ...
arXiv preprint arXiv:2002.11661, 1-21, 2020
52020
Toy Generative Model for Jets Package
K Cranmer, S Macaluso, D Pappadopulo
52019
Toy Generative Model for Jets, 2019
K Cranmer, S Macaluso, D Pappadopulo
URL https://github. com/SebastianMacaluso/ToyJetsShower/blob/master/notes …, 2019
52019
Toy Generative Model for Jets Package (2019)
K Cranmer, S Macaluso, D Pappadopulo
5
Exact and approximate hierarchical clustering using A
CS Greenberg, S Macaluso, N Monath, A Dubey, P Flaherty, M Zaheer, ...
Uncertainty in Artificial Intelligence, 2061-2071, 2021
42021
Hierarchical clustering in particle physics through reinforcement learning
J Brehmer, S Macaluso, D Pappadopulo, K Cranmer
arXiv preprint arXiv:2011.08191, 2020
42020
Toy Generative Model for Jets
K Cranmer, S Macaluso, D Pappadopulo
Toy Generative Model for Jets, 2019
42019
The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects
S Macaluso, K Cranmer
arXiv preprint arXiv:2112.12795, 2021
32021
Cluster trellis: Data structures & algorithms for exact inference in hierarchical clustering
S Macaluso, C Greenberg, N Monath, JA Lee, P Flaherty, K Cranmer, ...
International Conference on Artificial Intelligence and Statistics, 2467-2475, 2021
32021
Cluster trellis: Data structures & algorithms for exact inference in hierarchical clustering
C Greenberg, S Macaluso, N Monath, JA Lee, P Flaherty, K Cranmer, ...
AISTATS, 2021
22021
Data Structures & Algorithms for Exact Inference in Hierarchical Clustering
CS Greenberg, S Macaluso, N Monath, JA Lee, P Flaherty, K Cranmer, ...
arXiv preprint arXiv:2002.11661, 2020
22020
The Machine Learning Landscape of Top Taggers
C Gay, L Gouskos, PT Komiske, S Leiss, A Lister, S Macaluso, ...
arXiv preprint arXiv:1902.09914, 2019
2019
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