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Publications

Displaying results 1051 to 1060 of 14529.

  1. Fabrizio Ventola; Karl Stelzner; Alejandro Molina; Kristian Kersting

    Residual Sum-Product Networks

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 545-556, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  2. Xiaoting Shao; Alejandro Molina; Antonio Vergari; Karl Stelzner; Robert Peharz; Thomas Liebig; Kristian Kersting

    Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 401-412, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  3. Tjitze Rienstra; Matthias Thimm; Kristian Kersting; Xiaoting Shao

    Independence and D-separation in Abstract Argumentation

    In: Diego Calvanese; Esra Erdem; Michael Thielscher (Hrsg.). Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2020), September 12-18, Rhodes, Greece, Pages 713-722, IJCAI Organization, 2020.

  4. Matej Petkovic; Michelangelo Ceci; Kristian Kersting; Saso Dzeroski

    Estimating the Importance of Relational Features by Using Gradient Boosting

    In: Denis Helic; Gerhard Leitner; Martin Stettinger; Alexander Felfernig; Zbigniew W. Ras (Hrsg.). Foundations of Intelligent Systems - 25th International Symposium, ISMIS 2020, Proceedings. International Symposium on Methodologies for Intelligent Systems (ISMIS-2020), September 23-25, Graz, Austria, Pages 362-371, Lecture Notes in Computer Science (LNCS), Vol. 12117, Springer, 2020.

  5. Robert Peharz; Steven Lang; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Guy Van den Broeck; Kristian Kersting; Zoubin Ghahramani

    Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

    In: Proceedings of the 37th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2020), July 13-18, Pages 7563-7574, Proceedings of Machine Learning Research, Vol. 119, PMLR, 2020.

  6. Cigdem Turan; Patrick Schramowski; Constantin A. Rothkopf; Kristian Kersting

    Alfie: An Interactive Robot with Moral Compass

    In: Khiet P. Truong; Dirk Heylen; Mary Czerwinski; Nadia Berthouze; Mohamed Chetouani; Mikio Nakano (Hrsg.). ICMI '20: International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI-2020), October 25-29, Pages 758-759, ACM, 2020.

  7. Jannik Kossen; Karl Stelzner; Marcel Hussing; Claas Voelcker; Kristian Kersting

    Structured Object-Aware Physics Prediction for Video Modeling and Planning

    In: 8th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2020), April 26-30, Addis Ababa, Ethiopia, OpenReview.net, 2020.

  8. Alejandro Molina; Patrick Schramowski; Kristian Kersting

    Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks

    In: 8th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2020), April 26-30, Addis Ababa, Ethiopia, OpenReview.net, 2020.

  9. Quentin Delfosse; Patrick Schramowski; Alejandro Molina; Kristian Kersting

    Recurrent Rational Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2102.09407, Pages 0-10, arXiv, 2021.

  10. Zhongjie Yu; Mingye Zhu; Martin Trapp; Arseny Skryagin; Kristian Kersting

    Leveraging probabilistic circuits for nonparametric multi-output regression

    In: Cassio P. de Campos; Marloes H. Maathuis; Erik Quaeghebeur (Hrsg.). Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2021), July 27-30, Pages 2008-2018, Proceedings of Machine Learning Research, Vol. 161, AUAI Press, 2021.

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