Dennis Forster

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 9

Top Topics

Validity Indices

Gaussian Mixture

Bisecting K Means

Expectation Maximization

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Simon Damm, Dennis Forster, Dmytro Velychko, Zhenwen Dai, Asja Fischer, Jörg Lücke
The ELBO of Variational Autoencoders Converges to a Sum of Entropies. AISTATS (2023)
Florian Hirschberger, Dennis Forster, Jörg Lücke
A Variational EM Acceleration for Efficient Clustering at Very Large Scales. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Jörg Lücke, Dennis Forster, Zhenwen Dai
The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies. CoRR (2020)
Jörg Lücke, Dennis Forster
-means as a variational EM approximation of Gaussian mixture models. Pattern Recognit. Lett. 125 (2019)
Florian Hirschberger, Dennis Forster, Jörg Lücke
Accelerated Training of Large-Scale Gaussian Mixtures by a Merger of Sublinear Approaches. CoRR (2018)
Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke
Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks. Neural Comput. 30 (8) (2018)
Dennis Forster, Jörg Lücke
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means. AISTATS (2018)
Dennis Forster, Jörg Lücke
Truncated variational EM for semi-supervised neural simpletrons. IJCNN (2017)
Dennis Forster, Jörg Lücke
Truncated Variational EM for Semi-Supervised Neural Simpletrons. CoRR (2017)
Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke
Neural Simpletrons - Minimalistic Probabilistic Networks for Learning With Few Labels. CoRR (2015)