Search Results for author: Florian Hirschberger

Found 2 papers, 2 papers with code

Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables

1 code implementation • 4 Mar 2020 • Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke

Here, we consider LVMs that are defined for a range of different distributions, i. e., observables can follow any (regular) distribution of the exponential family.

Denoising

Paper
Code

Large Scale Clustering with Variational EM for Gaussian Mixture Models

1 code implementation • 1 Oct 2018 • Florian Hirschberger, Dennis Forster, Jörg Lücke

The aim of the project (which resulted in this arXiv version and the later TPAMI paper) is the exploration of the current efficiency and large-scale limits in fitting a parametric model for clustering to data distributions.

Benchmarking Clustering +1

Paper
Code

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