Enrico Guiraud

According to our database, Enrico Guiraud authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics.

Vincenzo Eduardo Padulano, Ivan Donchev Kabadzhov, Enric Tejedor Saavedra, Enrico Guiraud, Pedro Alonso-Jordá

J. Grid Comput., March, 2023

Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case.

Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto

CoRR, 2023

2022

Evolutionary Variational Optimization of Generative Models.

Jakob Drefs, Enrico Guiraud, Jörg Lücke

J. Mach. Learn. Res., 2022

Direct Evolutionary Optimization of Variational Autoencoders with Binary Latents.

Jakob Drefs, Enrico Guiraud, Filippos Panagiotou, Jörg Lücke

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data.

S. Hamid Mousavi, Mareike Buhl, Enrico Guiraud, Jakob Drefs, Jörg Lücke

Entropy, 2021

2020

Scalable unsupervised learning for deep discrete generative models: novel variational algorithms and their software realizations.

Enrico Guiraud

PhD thesis, 2020

Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents.

Enrico Guiraud, Jakob Drefs, Jörg Lücke

CoRR, 2020

2019

Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case.

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

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018

Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment.

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

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Evolutionary expectation maximization.

Enrico Guiraud, Jakob Drefs, Jörg Lücke

Proceedings of the Genetic and Evolutionary Computation Conference, 2018