Jakob Drefs

According to our database1, Jakob Drefs authored at least 11 papers between 2018 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables.
J. Mach. Learn. Res., 2023

2022
Evolutionary Variational Optimization for Probabilistic Unsupervised Learning.
PhD thesis, 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
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents.
CoRR, 2020

Maximal Causes for Exponential Family Observables.
CoRR, 2020

A Double-Dictionary Approach Learns Component Means and Variances for V1 Encoding.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019
STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds.
PLoS Comput. Biol., 2019

ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions.
CoRR, 2019

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


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