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Publications

Displaying results 1171 to 1180 of 14485.

  1. 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 Inductive Logic Programming (ILP-2019), September 3-5, Plovdiv, Bulgaria, Pages 62-71, Lecture Notes in Computer Science (LNAI), Vol. 11770, Springer, 2019.

  2. 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 on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 5966-5975, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  3. 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, Tianjin, China, Pages 251-254, IEEE, 2019.

  4. 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 Conference on Artificial Intelligence (AAAI-2019), January 27-28, Honolulu, HI, USA, Pages 37-44, ACM, 2019.

  5. 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, 2019.

  6. Fabian Hadiji; Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data

    In: Machine Learning, Vol. 100, No. 2-3, Pages 477-507, Springer, 2015.

  7. Marion Neumann; Shan Huang; Daniel E. Marthaler; Kristian Kersting

    pyGPs: a Python library for Gaussian process regression and classification

    In: Journal of Machine Learning Research, Vol. 16, Pages 2611-2616, JMLR, 2015.

  8. Mirwaes Wahabzada; Stefan Paulus; Kristian Kersting; Anne-Katrin Mahlein

    Automated interpretation of 3D laserscanned point clouds for plant organ segmentation

    In: BMC Bioinformatics, Vol. 16, Pages 248:1-248:11, BioMed Central, 2015.

  9. Elena Erdmann; Karin Boczek; Lars Koppers; Gerret von Nordheim; Christian Pölitz; Alejandro Molina; Katharina Morik; Henrik Müller; Jörg Rahnenführer; Kristian Kersting

    Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.05110, Pages 0-10, arXiv, 2016.

  10. Martin Mladenov; Leonard Kleinhans; Kristian Kersting

    Lifted Convex Quadratic Programming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.04486, Pages 0-10, arXiv, 2016.

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