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Gradient Boosted Decision Tree for Particle Identification Problem at MPD
V. Papoyan, A. Aparin, A. Ayriyan, H. Grigorian and A. Korobitsin Physics of Particles and Nuclei Letters 22(3) 622 (2025) https://doi.org/10.1134/S1547477125700256
Deep generative models for detector signature simulation: A taxonomic review
Comparison of point cloud and image-based models for calorimeter fast simulation
Fernando Torales Acosta, Vinicius Mikuni, Benjamin Nachman, Miguel Arratia, Bishnu Karki, Ryan Milton, Piyush Karande and Aaron Angerami Journal of Instrumentation 19(05) P05003 (2024) https://doi.org/10.1088/1748-0221/19/05/P05003
CaloScore v2: single-shot calorimeter shower simulation with diffusion models
Unsupervised and lightly supervised learning in particle physics
Jai Bardhan, Tanumoy Mandal, Subhadip Mitra, Cyrin Neeraj and Monalisa Patra The European Physical Journal Special Topics 233(15-16) 2559 (2024) https://doi.org/10.1140/epjs/s11734-024-01235-x
Score-based diffusion models for generating liquid argon time projection chamber images
Toward the end-to-end optimization of particle physics instruments with differentiable programming
Tommaso Dorigo, Andrea Giammanco, Pietro Vischia, Max Aehle, Mateusz Bawaj, Alexey Boldyrev, Pablo de Castro Manzano, Denis Derkach, Julien Donini, Auralee Edelen, Federica Fanzago, Nicolas R. Gauger, Christian Glaser, Atılım G. Baydin, Lukas Heinrich, Ralf Keidel, Jan Kieseler, Claudius Krause, Maxime Lagrange, Max Lamparth, Lukas Layer, Gernot Maier, Federico Nardi, Helge E.S. Pettersen, Alberto Ramos, et al. Reviews in Physics 10 100085 (2023) https://doi.org/10.1016/j.revip.2023.100085
LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows
Breno Orzari, Nadezda Chernyavskaya, Raphael Cobe, Javier Duarte, Jefferson Fialho, Dimitrios Gunopulos, Raghav Kansal, Maurizio Pierini, Thiago Tomei and Mary Touranakou Machine Learning: Science and Technology 4(4) 045023 (2023) https://doi.org/10.1088/2632-2153/ad04ea
Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation