A multi-cut formulation for joint segmentation and tracking of multiple objects M Keuper, S Tang, Y Zhongjie, B Andres, T Brox, B Schiele arXiv preprint arXiv:1607.06317, 2016 | 111 | 2016 |

Leveraging probabilistic circuits for nonparametric multi-output regression Z Yu, M Zhu, M Trapp, A Skryagin, K Kersting Uncertainty in Artificial Intelligence, 2008-2018, 2021 | 14 | 2021 |

Pedestrian counting based on spatial and temporal analysis Z Yu, C Gong, J Yang, L Bai 2014 IEEE International Conference on Image Processing (ICIP), 2432-2436, 2014 | 12 | 2014 |

Whittle networks: A deep likelihood model for time series Z Yu, FG Ventola, K Kersting International Conference on Machine Learning, 12177-12186, 2021 | 11 | 2021 |

Enabling Virtual Met Masts for wind energy applications through machine learning-methods S Schwegmann, J Faulhaber, S Pfaffel, Z Yu, M Dörenkämper, K Kersting, ... Energy and AI 11, 100209, 2023 | 9 | 2023 |

RGB-D depth-map restoration using smooth depth neighborhood supports W Liu, H Xue, Z Yu, Q Wu, J Yang Journal of Electronic Imaging 24 (3), 033015-033015, 2015 | 6 | 2015 |

Probabilistic circuits that know what they don’t know F Ventola, S Braun, Y Zhongjie, M Mundt, K Kersting Uncertainty in Artificial Intelligence, 2157-2167, 2023 | 5 | 2023 |

Recowns: Probabilistic circuits for trustworthy time series forecasting N Thoma, Z Yu, F Ventola, K Kersting arXiv preprint arXiv:2106.04148, 2021 | 5 | 2021 |

Sum-product logic: integrating probabilistic circuits into deepproblog A Skryagin, K Stelzner, A Molina, F Ventola, Z Yu, K Kersting Working Notes of the ICML 2020 Workshop on Bridge Between Perception and …, 2020 | 4 | 2020 |

Predictive whittle networks for time series Z Yu, F Ventola, N Thoma, DS Dhami, M Mundt, K Kersting Uncertainty in Artificial Intelligence, 2320-2330, 2022 | 2 | 2022 |

Sum-product-attention networks: Leveraging self-attention in energy-based probabilistic circuits Z Yu, DS Dhami, K Kersting The 5th Workshop on Tractable Probabilistic Modeling, 2022 | 2 | 2022 |

Characteristic Circuits Z Yu, M Trapp, K Kersting Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |

Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits Z Yu, DS Dhami, K Kersting arXiv preprint arXiv:2109.06587, 2021 | 1 | 2021 |

Modelling Multivariate Ranking Functions with Min-Sum Networks X Shao, Z Yu, A Skryagin, T Rienstra, M Thimm, K Kersting Scalable Uncertainty Management: 14th International Conference, SUM 2020 …, 2020 | 1 | 2020 |

Whittle Networks datasets Z Yu | | 2021 |

BMBF Verbundprojekt InDaS-Industrial Data Science-Qualifizierungskonzept für Maschinelles Lernen in der industriellen Produktion: Schlussbericht K Kersting, C Turan, Z Yu Technische Universität Darmstadt, 2020 | | 2020 |

Maschineller Lernverfahren für Stochastisch-Deterministische Multi-Sensor Signale J Garcke, R Iza-Teran, K Kersting, I Lecei, D Schollbach, Z Yu, ... | | |