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Maurizio Pierini

Showing results (1-10 of 8) with videos related to

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The European Physical Journal. C, Particles and Fields|April 11, 2022
Learning new physics from an imperfect machineRaffaele Tito D'Agnolo, Gaia Grosso, Maurizio Pierini, et al.
Scientific Data|March 30, 2022
LHC physics dataset for unsupervised New Physics detection at 40 MHzEkaterina Govorkova, Ema Puljak, Thea Aarrestad, et al.
The European Physical Journal. C, Particles and Fields|October 10, 2022
Learning new physics efficiently with nonparametric methodsMarco Letizia, Gianvito Losapio, Marco Rando, et al.
Frontiers in Big Data|March 17, 2022
Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing FlowsPratik Jawahar, Thea Aarrestad, Nadezda Chernyavskaya, et al.
Frontiers in Big Data|April 1, 2021
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy PhysicsYutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, et al.
Frontiers in Big Data|May 2, 2022
Applications and Techniques for Fast Machine Learning in ScienceAllison McCarn Deiana, Nhan Tran, Joshua Agar, et al.
Frontiers in Big Data|November 1, 2023
Corrigendum: Applications and techniques for fast machine learning in scienceAllison McCarn Deiana, Nhan Tran, Joshua Agar, et al.
Reports on Progress in Physics. Physical Society (Great Britain)|November 4, 2021
The LHC Olympics 2020 a community challenge for anomaly detection in high energy physicsGregor Kasieczka, Benjamin Nachman, David Shih, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
The European Physical Journal. C, Particles and Fields|April 11, 2022
Learning new physics from an imperfect machineRaffaele Tito D'Agnolo, Gaia Grosso, Maurizio Pierini, et al.
Scientific Data|March 30, 2022
LHC physics dataset for unsupervised New Physics detection at 40 MHzEkaterina Govorkova, Ema Puljak, Thea Aarrestad, et al.
The European Physical Journal. C, Particles and Fields|October 10, 2022
Learning new physics efficiently with nonparametric methodsMarco Letizia, Gianvito Losapio, Marco Rando, et al.
Frontiers in Big Data|March 17, 2022
Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing FlowsPratik Jawahar, Thea Aarrestad, Nadezda Chernyavskaya, et al.
Frontiers in Big Data|April 1, 2021
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy PhysicsYutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, et al.
Frontiers in Big Data|May 2, 2022
Applications and Techniques for Fast Machine Learning in ScienceAllison McCarn Deiana, Nhan Tran, Joshua Agar, et al.
Frontiers in Big Data|November 1, 2023
Corrigendum: Applications and techniques for fast machine learning in scienceAllison McCarn Deiana, Nhan Tran, Joshua Agar, et al.
Reports on Progress in Physics. Physical Society (Great Britain)|November 4, 2021
The LHC Olympics 2020 a community challenge for anomaly detection in high energy physicsGregor Kasieczka, Benjamin Nachman, David Shih, et al.
Pageof 1