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Publications

Displaying results 331 to 340 of 14485.

  1. Fabrizio Ventola; Devendra Singh Dhami; Kristian Kersting

    Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits

    In: Nikos Katzouris; Alexander Artikis (Hrsg.). Inductive Logic Programming - 30th International Conference, ILP 2021, Proceedings. International Conference on Inductive Logic Programming (ILP-2021), October 25-27, Virtual Event, Pages 251-265, Lecture Notes in Computer Science (LNAI), Vol. 13191, Springer, 2021.

  2. David Solans; Christopher Tauchmann; Aideen Farrell; Karolin Kappler; Hans-Hendrik Huber; Carlos Castillo; Kristian Kersting

    Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention

    In: Ceren Budak; Meeyoung Cha; Daniele Quercia; Lexing Xie (Hrsg.). Proceedings of the Fifteenth International AAAI Conference on Web and Social Media. AAAI Conference on Artificial Intelligence (AAAI-2021), June 7-10, Pages 691-702, AAAI Press, 2021.

  3. Antonio Vergari; Alejandro Molina; Robert Peharz; Zoubin Ghahramani; Kristian Kersting; Isabel Valera

    Automatic Bayesian Density Analysis

    In: The Thirty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2019), Pages 5207-5215, AAAI Press, 2019.

  4. Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Do Not Marginalize Mechanisms, Rather Consolidate!

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.08377, Pages 1-19, arXiv, 2023.

  5. Dominik Hintersdorf; Lukas Struppek; Daniel Schneider-Wetzel; Kristian Kersting

    Defending Our Privacy With Backdoors

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.08320, Pages 1-19, arXiv, 2023.

  6. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.06549, Pages 1-31, arXiv, 2023.

  7. Lukas Struppek; Martin B. Hentschel; Clifton Poth; Dominik Hintersdorf; Kristian Kersting

    Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.06372, Pages 1-12, arXiv, 2023.

  8. Manuel Brack; Patrick Schramowski; Kristian Kersting

    Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2309.11575, Pages 2-5, arXiv, 2023.

  9. Yuhan Jin; Haider Khan Lodhi; Fabian Maas genannt Bermpohl; Pierre Willenbrock; Christoph Hertzberg; Steffen Planthaber; Babu Ajish; Daniel Kuehn; Frank Kirchner

    Beyond Teleoperation: Autonomous-Assisted Soil Sampling for Decontamination in Hazardous Environments Using a Walking Excavator

    In: 2025 IEEE International Symposium on Safety Security Rescue Robotics (SSRR). IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR-2025), October 29-31, Galway, Ireland, IEEE, New York, NY, USA, 10/2025.

  10. Quentin Delfosse; Wolfgang Stammer; Thomas Rothenbacher; Dwarak Vittal; Kristian Kersting

    Boosting Object Representation Learning via Motion and Object Continuity

    In: Danai Koutra; Claudia Plant; Manuel Gomez Rodriguez; Elena Baralis; Francesco Bonchi (Hrsg.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Pages 610-628, Lecture Notes in Computer Science, Vol. 14172, Springer, 2023.

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