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Publikationen

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  1. Claas Völcker; Alejandro Molina; Johannes Neumann; Dirk Westermann; Kristian Kersting

    DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets

    In: Peggy Cellier; Kurt Driessens (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and …

  2. Navdeep Kaur; Gautam Kunapuli; Saket Joshi; Kristian Kersting; Sriraam Natarajan

    Neural Networks for Relational Data

    In: Dimitar Kazakov; Can Erten (Hrsg.). Inductive Logic Programming - 29th International Conference, Proceedings. International Conference on …

  3. Karl Stelzner; Robert Peharz; Kristian Kersting

    Faster Attend-Infer-Repeat with Tractable Probabilistic Models

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference …

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

    Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs

    In: International Conference on Field-Programmable Technology. International Conference on Field Programmable Technology (FPT-2019), December 9-13, …

  5. Sophie F. Jentzsch; Patrick Schramowski; Constantin A. Rothkopf; Kristian Kersting

    Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices

    In: Vincent Conitzer; Gillian K. Hadfield; Shannon Vallor (Hrsg.). Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society. AAAI …

  6. Mayukh Das; Devendra Singh Dhami; Gautam Kunapuli; Kristian Kersting; Sriraam Natarajan

    Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

    In: The Thirty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2019), Pages 7816-7824, AAAI Press, …