Machine Learning for Anomaly Detection in Particle Physics

20 December 2023

Papers citing "Machine Learning for Anomaly Detection in Particle Physics"

9 / 9 papers shown

Title
Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC E. Arganda Marcela Carena M. D. L. Rios A. D. Perez Duncan Rocha Rosa María Sandá Seoane Carlos E. M. Wagner AI4CE 13 0 0 17 Oct 2024
AI-based particle track identification in scintillating fibres read out with imaging sensors Noemi Bührer Saúl Alonso-Monsalve Matthew Franks Till Dieminger D. Sgalaberna 21 0 0 14 Oct 2024
Universal New Physics Latent Space Anna Hallin Gregor Kasieczka Sabine Kraml A. Lessa L. Moureaux Tore von Schwartz David Shih AI4CE 23 0 0 29 Jul 2024
Conditional Born machine for Monte Carlo event generation Oriel Kiss Michele Grossi E. Kajomovitz S. Vallecorsa 25 13 0 16 May 2022
Style-based quantum generative adversarial networks for Monte Carlo events Carlos Bravo-Prieto J. Baglio M. Cè A. Francis D. Grabowska Stefano Carrazza GAN 31 39 0 13 Oct 2021
Topological Obstructions to Autoencoding Joshua D. Batson C. G. Haaf Yonatan Kahn Daniel A. Roberts AI4CE 28 37 0 16 Feb 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 118 420 0 06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 119 645 0 28 Jul 2020
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 75 385 0 16 Apr 2018