A Living Review of Machine Learning for Particle Physics

2 February 2021

Papers citing "A Living Review of Machine Learning for Particle Physics"

30 / 30 papers shown

Title
Unraveling particle dark matter with Physics-Informed Neural Networks M.P. Bento H.B. Câmara J.F. Seabra 60 0 0 24 Feb 2025
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 23 0 0 17 Oct 2024
Quantum Vision Transformers for Quark-Gluon Classification Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 45 9 0 16 May 2024
$$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks$ $\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks Zhongtian Dong Marçal Comajoan Cara Gopal Ramesh Dahale Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 22 5 0 30 Nov 2023
Configurable calorimeter simulation for AI applications F. D. Di Bello Anton Charkin-Gorbulin Kyle Cranmer Etienne Dreyer S. Ganguly ... Lorenzo Santi Marumi Kado N. Kakati P. Rieck Matteo Tusoni 11 9 0 03 Mar 2023
Resonant Anomaly Detection with Multiple Reference Datasets Mayee F. Chen Benjamin Nachman Frederic Sala 25 5 0 20 Dec 2022
Machine-Learned Exclusion Limits without Binning E. Arganda Andrés D. Pérez M. D. L. Rios Rosa María Sandá Seoane 30 9 0 09 Nov 2022
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics Dominique J. Kösters Bryan A. Kortman I. Boybat Elena Ferro Sagar Dolas ... T. Rasing H. Riel A. Sebastian S. Caron J. Mentink 43 13 0 21 Sep 2022
Exploration of Parameter Spaces Assisted by Machine Learning A. Hammad Myeonghun Park Raymundo Ramos Pankaj Saha 8 15 0 20 Jul 2022
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 26 5 0 19 Jul 2022
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning Abdulhakim Alnuqaydan S. Gleyzer Harrison B. Prosper 16 14 0 17 Jun 2022
Bias and Priors in Machine Learning Calibrations for High Energy Physics Rikab Gambhir Benjamin Nachman Jesse Thaler AI4CE 20 7 0 10 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 29 84 0 13 Apr 2022
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 36 113 0 07 Dec 2021
A Cautionary Tale of Decorrelating Theory Uncertainties A. Ghosh Benjamin Nachman 30 17 0 16 Sep 2021
Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning Daniel Alvestad N. Fomin Jörn Kersten S. Maeland Inga Strümke 11 11 0 06 Aug 2021
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks Joseph Aylett-Bullock S. Badger Ryan Moodie 11 22 0 17 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 25 81 0 09 Jun 2021
Towards a method to anticipate dark matter signals with deep learning at the LHC E. Arganda A. Medina A. D. Perez A. Szynkman 11 7 0 25 May 2021
The Tracking Machine Learning challenge : Throughput phase S. Amrouche L. Basara P. Calafiura D. Emeliyanov Victor Estrade ... E. Moyse D. Rousseau A. Salzburger Andrey Ustyuzhanin J. Vlimant 118 31 0 03 May 2021
Invariant polynomials and machine learning W. Haddadin 32 7 0 26 Apr 2021
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 13 83 0 19 Apr 2021
Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection J. Collins P. Martín-Ramiro Benjamin Nachman David Shih 13 44 0 05 Apr 2021
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Y. Xu J. Yáñez S. Yoshida T. Yuan Z. Zhang 30 46 0 27 Jan 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks J. Pata Javier Mauricio Duarte J. Vlimant M. Pierini M. Spiropulu 107 76 0 21 Jan 2021
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once Benjamin Nachman Jesse Thaler 27 33 0 18 Jan 2021
Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks A. Maevskiy F. Ratnikov A. Zinchenko V. Riabov 50 12 0 08 Dec 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 75 386 0 16 Apr 2018
Fuzzy Jets Lester W. Mackey Benjamin Nachman A. Schwartzman Conrad Stansbury 14 12 0 07 Sep 2015
Machine learning approach to inverse problem and unfolding procedure N. Gagunashvili 36 20 0 12 Apr 2010