Enrico Guiraud

According to our database1, Enrico Guiraud authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: The CMS use case.
Comput. Phys. Commun., 2024

2023
Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics.
J. Grid Comput., March, 2023

2022
Evolutionary Variational Optimization of Generative Models.
J. Mach. Learn. Res., 2022

Direct Evolutionary Optimization of Variational Autoencoders with Binary Latents.
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.
Entropy, 2021

2020
Scalable unsupervised learning for deep discrete generative models: novel variational algorithms and their software realizations.
PhD thesis, 2020

Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents.
CoRR, 2020

2019

2018
Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Evolutionary expectation maximization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018


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