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Ema Puljak
Ema Puljak
PhD Student, CERN, Universitat Autònoma de Barcelona
Verified email at autonoma.cat - Homepage
Title
Cited by
Cited by
Year
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, AA Pol, ...
Nature Machine Intelligence 4 (2), 154-161, 2022
542022
LHC physics dataset for unsupervised New Physics detection at 40 MHz
E Govorkova, E Puljak, T Aarrestad, M Pierini, KA Woźniak, J Ngadiuba
Scientific Data 9 (1), 1-7, 2022
192022
Unravelling physics beyond the standard model with classical and quantum anomaly detection
J Schuhmacher, L Boggia, V Belis, E Puljak, M Grossi, M Pierini, ...
arXiv preprint arXiv:2301.10787, 2023
142023
Quantum anomaly detection in the latent space of proton collision events at the LHC
KA Woźniak, V Belis, E Puljak, P Barkoutsos, G Dissertori, M Grossi, ...
arXiv preprint arXiv:2301.10780, 2023
112023
CMS phase-2 DAQ and timing hub prototyping results and perspectives
V Amoiridis, U Behrens, A Bocci, J Branson, P Brummer, S Cittolin, ...
Journal of Instrumentation 17 (05), C05003, 2022
92022
The Phase-2 Upgrade of the CMS Data Acquisition
G Badaro, U Behrens, A Bocci, J Branson, P Brummer, S Cittolin, ...
EPJ Web of Conferences 251, 04023, 2021
82021
arXiv: Unravelling physics beyond the standard model with classical and quantum anomaly detection
J Schuhmacher, V Belis, E Puljak, M Grossi, I Tavernelli, S Vallecorsa, ...
2023
arXiv: Quantum anomaly detection in the latent space of proton collision events at the LHC
KA Woźniak, S Vallecorsa, V Belis, M Pierini, M Grossi, I Tavernelli, ...
2023
Author Correction: 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, AA Pol, ...
Nature Machine Intelligence 4 (4), 414-414, 2022
2022
LHC physics dataset for unsupervised New Physics detection at 40 MHz
G Ekaterina, P Ema, A Thea, P Maurizio, KA Woźniak, J Ngadiuba
Scientific Data 9 (1), 2022
2022
Detekcija anomalija u LHC-u zasnovana na autoenkoderima
E Puljak
University of Zagreb. Faculty of Electrical Engineering and Computing, 2021
2021
Autoencoders on FPGAs 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, AA Pol, ...
arXiv preprint arXiv:2108.03986, 2021
2021
40 MHz Scouting with Deep Learning in CMS
D Golubovic, T James, E Meschi, E Puljak
Connecting The Dots Workshop 2020 (CTD2020), doi: 10.5281/zenodo.4034400, 2020
2020
Am I Just a Number to You? -Of Course Not! You’re an N-dimensional Vector! How Different Fixed-size Representations Impact Clinical Text Classification
L Šošić, Z Žitko, E Puljak
https://www.fer.unizg.hr/_download/repository/TAR-2019-ProjectReports.pdf, 2019
2019
Vizualizacija korisnika stranice na društvenoj mreži
E Puljak
University of Zagreb. Faculty of Electrical Engineering and Computing., 2018
2018
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