End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification. N Di Mauro, A Vergari, TMA Basile, FG Ventola, F Esposito DC@ PKDD/ECML, 2017 | 30 | 2017 |

DAFNe: A one-stage anchor-free approach for oriented object detection S Lang, F Ventola, K Kersting arXiv preprint arXiv:2109.06148, 2021 | 21 | 2021 |

User-level label leakage from gradients in federated learning A Wainakh, F Ventola, T Müßig, J Keim, CG Cordero, E Zimmer, T Grube, ... arXiv preprint arXiv:2105.09369, 2021 | 21 | 2021 |

User label leakage from gradients in federated learning A Wainakh, F Ventola, T Müßig, J Keim, CG Cordero, E Zimmer, T Grube, ... arXiv preprint arXiv:2105.09369, 2021 | 19 | 2021 |

Whittle networks: A deep likelihood model for time series Z Yu, FG Ventola, K Kersting International Conference on Machine Learning, 12177-12186, 2021 | 10 | 2021 |

Alternative variable splitting methods to learn sum-product networks N Di Mauro, F Esposito, FG Ventola, A Vergari AI* IA 2017 Advances in Artificial Intelligence: XVIth International …, 2017 | 9 | 2017 |

Sum-product network structure learning by efficient product nodes discovery N Di Mauro, F Esposito, FG Ventola, A Vergari Intelligenza Artificiale 12 (2), 143-159, 2018 | 6 | 2018 |

Residual sum-product networks F Ventola, K Stelzner, A Molina, K Kersting International Conference on Probabilistic Graphical Models, 545-556, 2020 | 5 | 2020 |

Recowns: Probabilistic circuits for trustworthy time series forecasting N Thoma, Z Yu, F Ventola, K Kersting arXiv preprint arXiv:2106.04148, 2021 | 4 | 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 |

Splog: Sum-product logic A Skryagin, K Stelzner, A Molina, F Ventola, K Kersting Proceedings of the 2nd international conference on probabilistic programming, 2020 | 3 | 2020 |

Probabilistic Circuits That Know What They Don't Know F Ventola, S Braun, Z Yu, M Mundt, K Kersting arXiv preprint arXiv:2302.06544, 2023 | 1 | 2023 |

Elevating perceptual sample quality in PCs through differentiable sampling S Lang, M Mundt, F Ventola, R Peharz, K Kersting NeurIPS 2021 workshop on pre-registration in machine learning, 1-25, 2022 | 1 | 2022 |

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 | 1 | 2022 |

Random sum-product forests with residual links F Ventola, K Stelzner, A Molina, K Kersting arXiv preprint arXiv:1908.03250, 2019 | 1 | 2019 |

Elevating Perceptual Sample Quality in Probabilistic Circuits through Differentiable Sampling S Lang, M Mundt, F Ventola, R Peharz, K Kersting | | 2022 |

Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits F Ventola, DS Dhami, K Kersting International Conference on Inductive Logic Programming, 251-265, 2021 | | 2021 |