| k-means as a variational EM approximation of Gaussian mixture models J Lücke, D Forster Pattern Recognition Letters 125, 349-356, 2019 | 61 | 2019 |
| Neural simpletrons: Learning in the limit of few labels with directed generative networks D Forster, AS Sheikh, J Lücke Neural computation 30 (8), 2113-2174, 2018 | 18 | 2018 |
| Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means D Forster, J Lücke International Conference on Artificial Intelligence and Statistics, 124-132, 2018 | 17 | 2018 |
| A variational EM acceleration for efficient clustering at very large scales F Hirschberger, D Forster, J Lücke IEEE transactions on pattern analysis and machine intelligence 44 (12), 9787 …, 2021 | 15 | 2021 |
| Truncated variational em for semi-supervised neural simpletrons D Forster, J Lücke 2017 International Joint Conference on Neural Networks (IJCNN), 3769-3776, 2017 | 13 | 2017 |
| The elbo of variational autoencoders converges to a sum of three entropies S Damm, D Forster, D Velychko, Z Dai, A Fischer, J Lücke arXiv preprint arXiv:2010.14860, 2020 | 6 | 2020 |
| Neural simpletrons-minimalistic directed generative networks for learning with few labels D Forster, AS Sheikh, J Lücke arXiv preprint arXiv:1506.08448, 2015 | 5 | 2015 |
| The ELBO of variational autoencoders converges to a sum of entropies S Damm, D Forster, D Velychko, Z Dai, A Fischer, J Lücke International Conference on Artificial Intelligence and Statistics, 3931-3960, 2023 | 3 | 2023 |
| Accelerated training of large-scale gaussian mixtures by a merger of sublinear approaches F Hirschberger, D Forster, J Lücke IEEE Transaction on Pattern Analysis and Machine Intelligence 1050 (12), 1-2, 2021 | 2 | 2021 |
| Large Scale Clustering with Variational EM for Gaussian Mixture Models F Hirschberger, D Forster, J Lücke arXiv preprint arXiv:1810.00803, 2018 | 1 | 2018 |
| Neural Simpletrons–Minimalistic Probabilistic Networks for Learning With Few Labels D Forster, AS Sheikh, J Lücke stat 1050, 28, 2015 | 1 | 2015 |
| Directed Generative Models for Deep Semi-supervised Networks and Efficient Clustering D Forster Carl von Ossietzky Universität Oldenburg, 2018 | | 2018 |
