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Publications

Displaying results 1951 to 1960 of 14699.

  1. Nils M. Kriege; Marion Neumann; Christopher Morris; Kristian Kersting; Petra Mutzel

    A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1703.00676, Pages 0-10, arXiv, 2017.

  2. Zhao Xu; Romain Vial; Kristian Kersting

    Graph Enhanced Memory Networks for Sentiment Analysis

    In: Michelangelo Ceci; Jaakko Hollmén; Ljupco Todorovski; Celine Vens; Saso Dzeroski (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2017), September 18-22, Skopje, Macedonia, The Former Yugoslav Republic of, Pages 374-389, Lecture Notes in Computer Science, Vol. 10534, Springer, 2017.

  3. Daniel Geißler; Bo Zhou; Paul Lukowicz

    Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation

    In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2023), August 19-25, Macao, Macao, ISBN 978-1-956792-03-4, International Joint Conferences on Artificial Intelligence, 2023.

  4. Tanja Schneeberger; Stefan Schaffer; Dimitra Tsovaltzi; Lara Chehayeb; Patrick Gebhard (Hrsg.)

    Workshop on Smart Urban Micromobility

    Mensch und Computer (MuC-2023), located at Mensch und Computer 2023, September 3-6, Rapperswil, Switzerland, GI, 2023.

  5. Zhao Xu; Kristian Kersting; Lorenzo von Ritter

    Stochastic Online Anomaly Analysis for Streaming Time Series

    In: Carles Sierra (Hrsg.). Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2017), August 19-25, Melbourne, Australia, Pages 3189-3195, ijcai.org, 2017.

  6. Christopher Morris; Kristian Kersting; Petra Mutzel

    Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs

    In: Vijay Raghavan; Srinivas Aluru; George Karypis; Lucio Miele; Xindong Wu (Hrsg.). 2017 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2017), November 18-21, New Orleans, LA, USA, Pages 327-336, IEEE Computer Society, 2017.

  7. Benjamin Hilprecht; Christian Hammacher; Eduardo Souza dos Reis; Mohamed Abdelaal; Carsten Binnig

    DiffML: End-to-end Differentiable ML Pipelines

    In: Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, DEEM 2023. Workshop on Data Management for End-to-End Machine Learning (DEEM-2023), June 18, Seattle, WA, USA, Pages 7:1-7:7, ISBN 979-8-4007-0204-4, ACM, 2023.

  8. Nayari Lessa; Melya Boukheddimi; Frank Kirchner

    Adversarial Priors Unleashed with Soft Actor Critic

    In: Women in Machine Learning Workshop (WiML 2025) at NeurIPS. Neural Information Processing Systems (NeurIPS-2025), 20th Women in Machine Learning Workshop (WiML 2025), December 2-7, San Diego, USA, USA, n.n. 12/2025.

  9. Jonas Seng; Fabrizio Ventola; Zhongjie Yu; Kristian Kersting

    Hyperparameter Optimization via Interacting with Probabilistic Circuits

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.17804, Pages 1-39, Computing Research Repository, 2025.

  10. Nick Kocher; Christian Wassermann; Leona Hennig; Jonas Seng; Holger H. Hoos; Kristian Kersting; Marius Lindauer; Matthias S. Müller

    Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.15631, Pages 1-10, Computing Research Repository, 2025.

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