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Anomaly Detection With Conditional Variational Autoencoders

Oct 12, 2020
Adrian Alan Pol, Victor Berger, Gianluca Cerminara, Cecile Germain, Maurizio Pierini

* Presented at ICMLA 2019 

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Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning

Oct 05, 2020
Cheng Chen, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini

* 15 pages, 12 figures 

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Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Aug 08, 2020
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu

* 15 pages, 4 figures 

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Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml

Jun 15, 2020
Claudionor N. Coelho Jr., Aki Kuusela, Hao Zhuang, Thea Aarrestad, Vladimir Loncar, Jennifer Ngadiuba, Maurizio Pierini, Sioni Summers

* 9 pages, 9 figures, 3 tables, submitted to ICCAD 

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Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark

May 04, 2020
Oliver Knapp, Guenther Dissertori, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini

* 16 pages, 9 figures 

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Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

Mar 11, 2020
Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Duc Hoang, Sergo Jindariani, Edward Kreinar, Mia Liu, Vladimir Loncar, Jennifer Ngadiuba, Kevin Pedro, Maurizio Pierini, Dylan Rankin, Sheila Sagear, Sioni Summers, Nhan Tran, Zhenbin Wu


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Fast inference of Boosted Decision Trees in FPGAs for particle physics

Feb 19, 2020
Sioni Summers, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Duc Hoang, Sergo Jindariani, Edward Kreinar, Vladimir Loncar, Jennifer Ngadiuba, Maurizio Pierini, Dylan Rankin, Nhan Tran, Zhenbin Wu


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Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

Jan 08, 2020
Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang

* 26 pages, 38 figures. Corrected typos and added additional references in v2. Extended Acknowledgements section in v3 

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Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Feb 21, 2019
Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini

* 15p 

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LHC analysis-specific datasets with Generative Adversarial Networks

Jan 16, 2019
Bobak Hashemi, Nick Amin, Kaustuv Datta, Dominick Olivito, Maurizio Pierini

* 14 pages, 11 figures 

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Variational Autoencoders for New Physics Mining at the Large Hadron Collider

Dec 05, 2018
Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant

* 17 pages, 9 figures, 4 tables 

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Topology classification with deep learning to improve real-time event selection at the LHC

Aug 01, 2018
Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant

* 15 pages, 9 figures, 2 tables 

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Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider

Jul 27, 2018
Adrian Alan Pol, Gianluca Cerminara, Cecile Germain, Maurizio Pierini, Agrima Seth


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Fast inference of deep neural networks in FPGAs for particle physics

Jun 28, 2018
Javier Duarte, Song Han, Philip Harris, Sergo Jindariani, Edward Kreinar, Benjamin Kreis, Jennifer Ngadiuba, Maurizio Pierini, Ryan Rivera, Nhan Tran, Zhenbin Wu

* 22 pages, 17 figures, 2 tables, JINST revision 

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