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Publications

Displaying results 1001 to 1010 of 13254.

  1. Martin Mladenov; Babak Ahmadi; Kristian Kersting

    Lifted Linear Programming

    In: Neil D. Lawrence; Mark A. Girolami (Hrsg.). Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2012), April 21-23, La Palma, Spain, Pages 788-797, JMLR Proceedings, Vol. 22, JMLR.org, 2012.

  2. Mirwaes Wahabzada; Kristian Kersting; Christian Bauckhage; Christoph Römer; Agim Ballvora; Francisco Pinto; Uwe Rascher; Jens Leon; Lutz Ploemer

    Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants

    In: Nando de Freitas; Kevin P. Murphy (Hrsg.). Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2012), August 14-18, Catalina Island, CA, USA, Pages 852-862, AUAI Press, 2012.

  3. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    To Trust or Not To Trust Prediction Scores for Membership Inference Attacks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2022), July 23-29, Vienna, Austria, Pages 3043-3049, ijcai.org, 2022.

  4. Lukas Struppek; Dominik Hintersdorf; Antonio De Almeida Correia; Antonia Adler; Kristian Kersting

    Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

    In: Kamalika Chaudhuri; Stefanie Jegelka; Le Song; Csaba Szepesvári; Gang Niu; Sivan Sabato (Hrsg.). International Conference on Machine Learning. International Conference on Machine Learning (ICML-2022), July 17-23, Baltimore, Maryland, USA, Pages 20522-20545, Proceedings of Machine Learning Research, Vol. 162, PMLR, 2022.

  5. Martin Mundt; Steven Lang; Quentin Delfosse; Kristian Kersting

    CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability

    In: The Tenth International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2022), April 25-29, OpenReview.net, 2022.

  6. Felix Friedrich; Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Interactively Providing Explanations for Transformer Language Models

    In: Stefan Schlobach; María Pérez-Ortiz; Myrthe Tielman (Hrsg.). HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence. International Conference on Hybrid Human-Artificial Intelligence (HHAI-2022), June 13-17, Amsterdam, Netherlands, Pages 285-287, Frontiers in Artificial Intelligence and Applications, Vol. 354, IOS Press, 2022.

  7. Arseny Skryagin; Wolfgang Stammer; Daniel Ochs; Devendra Singh Dhami; Kristian Kersting

    Neural-Probabilistic Answer Set Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), July 31 - August 5, Haifa, Israel, IJCAI Organization, 2022.

  8. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    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 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  9. Viktor Pfanschilling; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), August 31-5, Haifa, Israel, IJCAI Organization, 2022.

  10. Xuan Xie; Kristian Kersting; Daniel Neider

    Neuro-Symbolic Verification of Deep Neural Networks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2022), July 23-29, Vienna, Austria, Pages 3622-3628, ijcai.org, 2022.

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