Items where Author is "Drefs, Jakob"

Article

Mousavi, Hamid and Drefs, Jakob and Hirschberger, Florian and Lücke , Jörg (2023) Generic unsupervised optimization for a latent variable model with exponential family observables. Journal of machine learning research, 24 (285). pp. 1-59. ISSN 1533-7928

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

Sheikh, Abdul-Saboor and Harper, Nicol S. and Drefs, Jakob and Singer, Yosef and Dai, Zhenwen and Turner, Richard E. and Lücke, Jörg (2019) STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. PLOS Computational Biology, 15 (1). e1006595. ISSN 1553-7358

Sheikh, Abdul-Saboor and Harper, Nicol S. and Drefs, Jakob and Singer, Yosef and Dai, Zhenwen and Turner, Richard E. and Lücke, Jörg (2019) STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. PLOS Computational Biology, 15 (1). e1006595. ISSN 1553-7358

Book Section

Mousavi, S. Hamid and Drefs, Jakob and Lücke, Jörg (2021) A double-dictionary approach learns component means and variances for V1 encoding. In: Machine Learning, Optimization, and Data Science. Lecture notes in computer science (12566). Springer International Publishing AG, Cham, pp. 240-244. ISBN 978-3-030-64580-9

Thesis

Drefs, Jakob (2022) Evolutionary Variational Optimization for Probabilistic Unsupervised Learning. PhD, Universitätsbibliothek Oldenburg.

Conference or Workshop Item

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.