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Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders


Aug 13, 2021
Eric A. Moreno, Jean-Roch Vlimant, Maria Spiropulu, Bartlomiej Borzyszkowski, Maurizio Pierini

* 16 pages, 6 figures 

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Accelerating Recurrent Neural Networks for Gravitational Wave Experiments


Jun 26, 2021
Zhiqiang Que, Erwei Wang, Umar Marikar, Eric Moreno, Jennifer Ngadiuba, Hamza Javed, Bartłomiej Borzyszkowski, Thea Aarrestad, Vladimir Loncar, Sioni Summers, Maurizio Pierini, Peter Y Cheung, Wayne Luk

* Accepted at the 2021 32nd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) 

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Particle Cloud Generation with Message Passing Generative Adversarial Networks


Jun 22, 2021
Raghav Kansal, Javier Duarte, Hao Su, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopulos

* 13 pages, 4 figures, 2 tables, and a 3 page appendix 

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A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC


May 04, 2021
Giuseppe Di Guglielmo, Farah Fahim, Christian Herwig, Manuel Blanco Valentin, Javier Duarte, Cristian Gingu, Philip Harris, James Hirschauer, Martin Kwok, Vladimir Loncar, Yingyi Luo, Llovizna Miranda, Jennifer Ngadiuba, Daniel Noonan, Seda Ogrenci-Memik, Maurizio Pierini, Sioni Summers, Nhan Tran

* 9 pages, 8 figures, 3 tables 

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hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices


Mar 23, 2021
Farah Fahim, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo Jindariani, Nhan Tran, Luca P. Carloni, Giuseppe Di Guglielmo, Philip Harris, Jeffrey Krupa, Dylan Rankin, Manuel Blanco Valentin, Josiah Hester, Yingyi Luo, John Mamish, Seda Orgrenci-Memik, Thea Aarrestad, Hamza Javed, Vladimir Loncar, Maurizio Pierini, Adrian Alan Pol, Sioni Summers, Javier Duarte, Scott Hauck, Shih-Chieh Hsu, Jennifer Ngadiuba, Mia Liu, Duc Hoang, Edward Kreinar, Zhenbin Wu

* 10 pages, 8 figures, TinyML Research Symposium 2021 

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MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks


Jan 21, 2021
Joosep Pata, Javier Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu

* 12 pages, 10 figures 

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Fast convolutional neural networks on FPGAs with hls4ml


Jan 13, 2021
Thea Aarrestad, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang

* 18 pages, 16 figures, 3 tables 

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Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics


Dec 08, 2020
Raghav Kansal, Javier Duarte, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopoulos

* 9 pages, 4 figures, 4 tables, To appear in Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020) 

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Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs


Nov 30, 2020
Aneesh Heintz, Vesal Razavimaleki, Javier Duarte, Gage DeZoort, Isobel Ojalvo, Savannah Thais, Markus Atkinson, Mark Neubauer, Lindsey Gray, Sergo Jindariani, Nhan Tran, Philip Harris, Dylan Rankin, Thea Aarrestad, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Mia Liu, Edward Kreinar, Zhenbin Wu

* 8 pages, 4 figures, To appear in Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020) 

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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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