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Generative Adversarial Networks for LHCb Fast Simulation

EPJ Web of Conferences, 2020, Vol.245, p.2026

2020

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Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach

The European physical journal. C, Particles and fields, 2022-11, Vol.82 (11), p.1021-12, Article 1021

2022

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Controlling Quality for a Physics-Driven Generative Models and Auxiliary Regression Approach

EPJ Web of Conferences, 2024, Vol.295, p.9007

2024

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Deep Learning Approaches for LHCb ECAL Reconstruction

EPJ Web of Conferences, 2024, Vol.295, p.9008

2024

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Multi-parameter detector optimization: SHiP case

EPJ Web of Conferences, 2024, Vol.295, p.3023

2024

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Basket Classifier: Fast and Optimal Restructuring of the Classifier for Differing Train and Target Samples

EPJ Web of Conferences, 2021, Vol.251, p.3069

2021

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Fast simulation of the electromagnetic calorimeter response using Self-Attention Generative Adversarial Networks

EPJ Web of Conferences, 2021, Vol.251, p.3043

2021

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The use of Boosted Decision Trees for Energy Reconstruction in JUNO experiment

EPJ Web of Conferences, 2021, Vol.251, p.3014

2021

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What Machine Learning Can Do for Focusing Aerogel Detectors

EPJ Web of Conferences, 2024, Vol.295, p.9043

2024

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Digital Twins for Storage Systems and RAID Pools: Enhancing Data Management in High Energy Physics

EPJ Web of Conferences, 2024, Vol.295, p.9012

2024

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Generative Models for Fast Calorimeter Simulation: the LHCb case

EPJ Web of Conferences, 2019, Vol.214, p.2034

2019

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Search for R-parity violating Supersymmetry using the CMS detector

EPJ Web of conferences, 2013, Vol.60, p.18012-np

2013

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GAN with an Auxiliary Regressor for the Fast Simulation of the Electromagnetic Calorimeter Response

Journal of physics. Conference series, 2023-02, Vol.2438 (1), p.12086

2023

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Using machine learning to speed up new and upgrade detector studies: a calorimeter case

EPJ Web of Conferences, 2020, Vol.245, p.2019

2020

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Soft Margin Spectral Normalization for GANs

Computing and software for big science, 2024-12, Vol.8 (1), Article 12

2024

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Cherenkov detectors fast simulation using neural networks

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2020-02, Vol.952, p.161804, Article 161804

2020

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Machine Learning approach to γ/π0 separation in the LHCb calorimeter

Journal of physics. Conference series, 2018-09, Vol.1085 (4)

2018

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Machine Learning approach to γ/π 0 separation in the LHCb calorimeter

Journal of physics. Conference series, 2018-09, Vol.1085, p.42036

2018

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Generative surrogates for fast simulation: TPC case

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2023-02, Vol.1047, p.167743, Article 167743

2023

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Vertex and energy reconstruction in JUNO with machine learning methods

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2021-09, Vol.1010, p.165527, Article 165527

2021

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A full detector description using neural network driven simulation

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2023-01, Vol.1046, p.167591, Article 167591