Dennis Forster

Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks

Jörg Lücke, Abdul-Saboor Sheikh, Dennis Forster, 2015, Neural Computation.

Truncated variational EM for semi-supervised neural simpletrons

Jörg Lücke, Dennis Forster, Jörg Lücke, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means

Jörg Lücke, Dennis Forster, Jörg Lücke, 2017, AISTATS.

Neural Simpletrons - Minimalistic Probabilistic Networks for Learning With Few Labels pdf

Jörg Lücke, Abdul-Saboor Sheikh, Dennis Forster, 2015, ArXiv.

k-means as a variational EM approximation of Gaussian mixture models

Jörg Lücke, Dennis Forster, Jörg Lücke, 2017, Pattern Recognit. Lett..

Accelerated Training of Large-Scale Gaussian Mixtures by a Merger of Sublinear Approaches pdf

Jörg Lücke, Dennis Forster, Florian Hirschberger, 2018, ArXiv.

The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies pdf

Jörg Lücke, Dennis Forster, Zhenwen Dai, 2020, ArXiv.

Neural Simpletrons - Minimalistic Directed Generative Networks for Learning with Few Labels

Abdul-Saboor Sheikh, Dennis Forster, Jorg Lucke, 2015, 1506.08448.

Large Scale Clustering with Variational EM for Gaussian Mixture Models

Jörg Lücke, Dennis Forster, Florian Hirschberger, 2019 .