| Random Sum-Product Networks: A Simple but Effective Approach to Probabilistic Deep Learning R Peharz, A Vergari, K Stelzner, A Molina, X Shao, M Trapp, K Kersting, ... UAI, 2019 | 130 | 2019 |
| Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits R Peharz, S Lang, A Vergari, K Stelzner, A Molina, M Trapp, GV Broeck, ... International Conference on Machine Learning, 2020 | 129 | 2020 |
| Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation K Stelzner, K Kersting, AR Kosiorek arXiv preprint arXiv:2104.01148, 2021 | 99 | 2021 |
| Structured Object-Aware Physics Prediction for Video Modeling and Planning J Kossen, K Stelzner, M Hussing, C Voelcker, K Kersting International Conference on Learning Representations, 2020 | 72 | 2020 |
| Spflow: An easy and extensible library for deep probabilistic learning using sum-product networks A Molina, A Vergari, K Stelzner, R Peharz, P Subramani, N Di Mauro, ... arXiv preprint arXiv:1901.03704, 2019 | 64 | 2019 |
| Faster Attend-Infer-Repeat with Tractable Probabilistic Models K Stelzner, R Peharz, K Kersting International Conference on Machine Learning, 5966-5975, 2019 | 63 | 2019 |
| Conditional sum-product networks: Imposing structure on deep probabilistic architectures X Shao, A Molina, A Vergari, K Stelzner, R Peharz, T Liebig, K Kersting International Conference on Probabilistic Graphical Models, 401-412, 2020 | 47 | 2020 |
| Probabilistic deep learning using random sum-product networks R Peharz, A Vergari, K Stelzner, A Molina, M Trapp, K Kersting, ... arXiv preprint arXiv:1806.01910, 2018 | 35 | 2018 |
| Conditional sum-product networks: Modular probabilistic circuits via gate functions X Shao, A Molina, A Vergari, K Stelzner, R Peharz, T Liebig, K Kersting International Journal of Approximate Reasoning 140, 298-313, 2022 | 17 | 2022 |
| Generative Adversarial Set Transformers K Stelzner, K Kersting, AR Kosiorek Workshop on Object-Oriented Learning at ICML 2020, 2020 | 14 | 2020 |
| Residual sum-product networks F Ventola, K Stelzner, A Molina, K Kersting International Conference on Probabilistic Graphical Models, 545-556, 2020 | 7* | 2020 |
| Right for the right latent factors: debiasing generative models via disentanglement X Shao, K Stelzner, K Kersting arXiv preprint arXiv:2202.00391, 2022 | 5 | 2022 |
| Elements of Unsupervised Scene Understanding: Objectives, Structures, and Modalities K Stelzner Technische Universität Darmstadt, 2023 | | 2023 |
