Enrico Guiraud

13 papers A 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks. CoRR Santiago A. Cadena, Andrea Merlo, Emanuel Laude, Alexander Bauer, Atul Agrawal, Maria Pascu, Marija Savtchouk, Enrico Guiraud, Lukas Bonauer, Stuart Hudson, Markus Kaiser
2024	J	`jnl`	Prototyping a ROOT-based distributed analysis workflow for HL-LHC: The CMS use case. Comput. Phys. Commun. Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto
2023	J	`jnl`	Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics. J. Grid Comput. Vincenzo Eduardo Padulano, Ivan Donchev Kabadzhov, Enric Tejedor Saavedra, Enrico Guiraud, Pedro Alonso-Jordá
2023	J	`jnl`	Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case. CoRR Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto
2022	—	`conf`	Direct Evolutionary Optimization of Variational Autoencoders with Binary Latents. ECML/PKDD (3) Jakob Drefs, Enrico Guiraud, Filippos Panagiotou, Jörg Lücke
2022	J	`jnl`	Evolutionary Variational Optimization of Generative Models. J. Mach. Learn. Res. Jakob Drefs, Enrico Guiraud, Jörg Lücke
2021	J	`jnl`	Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data. Entropy S. Hamid Mousavi, Mareike Buhl, Enrico Guiraud, Jakob Drefs, Jörg Lücke
2020	J	`jnl`	Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents. CoRR Enrico Guiraud, Jakob Drefs, Jörg Lücke
2020	J	`jnl`	Evolutionary Variational Optimization of Generative Models. CoRR Jakob Drefs, Enrico Guiraud, Jörg Lücke
2020	—	`—`	Scalable unsupervised learning for deep discrete generative models: novel variational algorithms and their software realizations. Enrico Guiraud
2019	—	`conf`	Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case. Euro-Par 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
2018	—	`conf`	Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment. UCC Companion 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
2018	A	`conf`	Evolutionary expectation maximization. GECCO Enrico Guiraud, Jakob Drefs, Jörg Lücke