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Publications

Displaying results 1231 to 1240 of 14548.

  1. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Systems AI: A Declarative Learning Based Programming Perspective

    In: Jérôme Lang (Hrsg.). Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2018), July 13-19, Stockholm, Sweden, Pages 5464-5471, ijcai.org, 2018.

  2. Stefan Lüdtke; Max Schröder; Sebastian Bader; Kristian Kersting; Thomas Kirste

    Lifted Filtering via Exchangeable Decomposition

    In: Jérôme Lang (Hrsg.). Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2018), July 13-19, Stockholm, Sweden, Pages 5067-5073, ijcai.org, 2018.

  3. Samuel Kolb; Martin Mladenov; Scott Sanner; Vaishak Belle; Kristian Kersting

    Efficient Symbolic Integration for Probabilistic Inference

    In: Jérôme Lang (Hrsg.). Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2018), July 13-19, Stockholm, Sweden, Pages 5031-5037, ijcai.org, 2018.

  4. Lukas Sommer; Julian Oppermann; Alejandro Molina; Carsten Binnig; Kristian Kersting; Andreas Koch

    Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators

    In: 36th IEEE International Conference on Computer Design. IEEE International Conference on Computer Design (ICCD-2018), October 7-10, Orlando, FL, USA, Pages 350-357, IEEE Computer Society, 2018.

  5. Antonio Vergari; Robert Peharz; Nicola Di Mauro; Alejandro Molina; Kristian Kersting; Floriana Esposito

    Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 4163-4170, AAAI Press, 2018.

  6. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 3828-3835, AAAI Press, 2018.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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