Jakob Drefs

According to our database, Jakob Drefs authored at least 10 papers between 2018 and 2022.

Collaborative distances:

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

2022

Evolutionary Variational Optimization for Probabilistic Unsupervised Learning.

Jakob Drefs

PhD thesis, 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

Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents.

Enrico Guiraud, Jakob Drefs, Jörg Lücke

CoRR, 2020

Maximal Causes for Exponential Family Observables.

S. Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke

CoRR, 2020

A Double-Dictionary Approach Learns Component Means and Variances for V1 Encoding.

S. Hamid Mousavi, Jakob Drefs, Jörg Lücke

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds.

Abdul-Saboor Sheikh, Nicol S. Harper, Jakob Drefs, Yosef Singer, Zhenwen Dai, Richard E. Turner, Jörg Lücke

PLoS Comput. Biol., 2019

ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions.

Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke

CoRR, 2019

2018

Evolutionary expectation maximization.

Enrico Guiraud, Jakob Drefs, Jörg Lücke

Proceedings of the Genetic and Evolutionary Computation Conference, 2018