Author Correction: Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider.

[BibT_eX]

[DOI]

Ekaterina Govorkova

Ema Puljak

Nat. Mach. Intell., 2022

Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2022

2021

Analysis-Specific Fast Simulation at the LHC with Deep Learning.

[BibT_eX]

[DOI]

Comput. Softw. Big Sci., 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC.

[BibT_eX]

[DOI]

Comput. Softw. Big Sci., December, 2019

2018

Probabilistic modelling of printed dots at the microscopic scale.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2018

Variational Autoencoders for New Physics Mining at the Large Hadron Collider.

[BibT_eX]

[DOI]

CoRR, 2018

2014

Printer technology authentication from micrometric scan of a single printed dot.

[BibT_eX]

[DOI]

Proceedings of the Media Watermarking, 2014

Printer identification from micro-metric scale printing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Thong Q. Nguyen

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