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Drefs, Jakob and Guiraud, Enrico and Lücke, Jörg (2022) Evolutionary variational optimization of generative models. Journal of machine learning research, 23 (21). pp. 1-51. ISSN 1533-7928
Mousavi, Hamid and Buhl, Mareike and Guiraud, Enrico and Drefs, Jakob and Lücke, Jörg (2021) Inference and learning in a latent variable model for beta distributed interval data. Entropy, 23 (5, 552). pp. 1-28. ISSN 1099-4300
Guiraud, Enrico (2021) Scalable unsupervised learning for deep discrete generative models: novel variational algorithms and their software realizations. PhD, Universität Oldenburg.
Drefs, Jakob and Guiraud, Enrico and Panagiotou, Filippos and Lücke , Jörg (2023) Direct evolutionary optimization of variational autoencoders with binary latents. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, September 19–23, 2022, Grenoble, France.
Guiraud, Enrico and Drefs, Jakob and Lücke, Jörg (2018) Evolutionary expectation maximization. In: GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, Kyoto, Japan, July 15-19, 2018.