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Deep learning for inferring cause of data anomalies.

V. Azzolini, M. Borisyak, G. Cerminara, D. Derkach, G. Franzoni, F. Guio, O. Koval, M. Pierini, A. Pol, F. Ratnikov, F. Siroky, A. Ustyuzhanin, and J. Vlimant. CoRR, (2017)

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Tommaso Pierini

Maurizio Podda

Maurizio Venturini

Maurizio Zanazzi

Maurizio Serva

Other publications of authors with the same name

Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider.E. Govorkova, E. Puljak, T. Aarrestad, T. James, V. Loncar, M. Pierini, A. Pol, N. Ghielmetti, M. Graczyk, S. Summers and 4 other author(s). Nat. Mach. Intell., 4 (2): 154-161 (2022)Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.D. Belayneh, F. Carminati, A. Farbin, B. Hooberman, G. Khattak, M. Liu, J. Liu, D. Olivito, V. Pacela, M. Pierini and 6 other author(s). CoRR, (2019)Learning representations of irregular particle-detector geometry with distance-weighted graph networks.S. Qasim, J. Kieseler, Y. Iiyama, and M. Pierini. CoRR, (2019)Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs.A. Heintz, V. Razavimaleki, J. Duarte, G. DeZoort, I. Ojalvo, S. Thais, M. Atkinson, M. Neubauer, L. Gray, S. Jindariani and 11 other author(s). CoRR, (2020)Sets are all you need: Ultrafast jet classification on FPGAs for HL-LHC.P. Odagiu, Z. Que, J. Duarte, J. Haller, G. Kasieczka, A. Lobanov, V. Loncar, W. Luk, J. Ngadiuba, M. Pierini and 6 other author(s). CoRR, (2024)Symbolic Regression on FPGAs for Fast Machine Learning Inference.H. Tsoi, A. Pol, V. Loncar, E. Govorkova, M. Cranmer, S. Dasu, P. Elmer, P. Harris, I. Ojalvo, and M. Pierini. CoRR, (2023)hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices.F. Fahim, B. Hawks, C. Herwig, J. Hirschauer, S. Jindariani, N. Tran, L. Carloni, G. Guglielmo, P. Harris, J. Krupa and 20 other author(s). CoRR, (2021)Progress towards an improved particle flow algorithm at CMS with machine learning.F. Mokhtar, J. Pata, J. Duarte, E. Wulff, M. Pierini, and J. Vlimant. CoRR, (2023)Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML.G. Guglielmo, J. Duarte, P. Harris, D. Hoang, S. Jindariani, E. Kreinar, M. Liu, V. Loncar, J. Ngadiuba, K. Pedro and 6 other author(s). CoRR, (2020)Anomaly Detection with Conditional Variational Autoencoders.A. Pol, V. Berger, C. Germain, G. Cerminara, and M. Pierini. ICMLA, page 1651-1657. IEEE, (2019)

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Disambiguation of "Pierini, Maurizio"

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Deep learning for inferring cause of data anomalies.

Please choose a person to relate this publication to

Tommaso Pierini

Maurizio Podda

Maurizio Venturini

Maurizio Zanazzi

Maurizio Serva

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pierini, Maurizio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep learning for inferring cause of data anomalies.

Please choose a person to relate this publication to

Tommaso Pierini

Maurizio Podda

Maurizio Venturini

Maurizio Zanazzi

Maurizio Serva

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Deep learning for inferring cause of data anomalies.