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Enrico Guiraud
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2020 – today
- 2024
- [j4]Tommaso Tedeschi, Vincenzo Eduardo Padulano
, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto:
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: The CMS use case. Comput. Phys. Commun. 295: 108965 (2024) - 2023
- [j3]Vincenzo Eduardo Padulano
, Ivan Donchev Kabadzhov, Enric Tejedor Saavedra, Enrico Guiraud, Pedro Alonso-Jordá:
Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics. J. Grid Comput. 21(1): 9 (2023) - [i3]Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto:
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case. CoRR abs/2307.12579 (2023) - 2022
- [j2]Jakob Drefs, Enrico Guiraud, Jörg Lücke
:
Evolutionary Variational Optimization of Generative Models. J. Mach. Learn. Res. 23: 21:1-21:51 (2022) - [c4]Jakob Drefs, Enrico Guiraud, Filippos Panagiotou, Jörg Lücke
:
Direct Evolutionary Optimization of Variational Autoencoders with Binary Latents. ECML/PKDD (3) 2022: 357-372 - 2021
- [j1]S. Hamid Mousavi, Mareike Buhl
, Enrico Guiraud, Jakob Drefs, Jörg Lücke
:
Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data. Entropy 23(5): 552 (2021) - 2020
- [b1]Enrico Guiraud:
Scalable unsupervised learning for deep discrete generative models: novel variational algorithms and their software realizations. University of Oldenburg, Germany, 2020 - [i2]Enrico Guiraud, Jakob Drefs, Jörg Lücke:
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents. CoRR abs/2011.13704 (2020) - [i1]Jakob Drefs, Enrico Guiraud, Jörg Lücke:
Evolutionary Variational Optimization of Generative Models. CoRR abs/2012.12294 (2020)
2010 – 2019
- 2019
- [c3]Valentina Avati, Milosz Blaszkiewicz, Enrico Bocchi, Luca Canali, Diogo Castro, Javier Cervantes, Leszek Grzanka
, Enrico Guiraud, Jan Kaspar
, Prasanth Kothuri, Massimo Lamanna, Maciej Malawski
, Aleksandra Mnich, Jakub T. Moscicki, Shravan Murali, Danilo Piparo, Enric Tejedor:
Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case. Euro-Par 2019: 241-255 - 2018
- [c2]Enrico Guiraud, Jakob Drefs, Jörg Lücke:
Evolutionary expectation maximization. GECCO 2018: 442-449 - [c1]Valentina Avati, Milosz Blaszkiewicz, Enrico Bocchi, Luca Canali, Diogo Castro, Javier Cervantes, Leszek Grzanka
, Enrico Guiraud, Jan Kaspar
, Prasanth Kothuri, Massimo Lamanna, Maciej Malawski
, Aleksandra Mnich, Jakub T. Moscicki, Shravan Murali, Danilo Piparo, Enric Tejedor:
Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment. UCC Companion 2018: 5-6
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