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Publications

Displaying results 161 to 170 of 661.

  1. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.14495, Pages 1-4, arXiv, 2025.

  2. Sara Narteni; Alberto Carlevaro; Zeming Duan; Serge Autexier; Maurizio Mongelli

    Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation

    In: Khuong An Nguyen; Zhiyuan Luo; Harris Papadopoulos; Tuwe Löfström; Lars Carlsson; Henrik Boström (Hrsg.). Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications. Symposium in Conformal and Probabilistic Prediction with Applications (COPA-2025), September 10-12, London, United Kingdom, Pages 778-780, Proceedings of Machine Learning Research (PMLR), Vol. 266, PMLR, 9/2025.

  3. Sumantrak Mukherjee; Mouad Elhamdi; George Mohler; David Antony Selby; Yao Xie; Sebastian Vollmer; Gerrit Großmann

    Neural Spatiotemporal Point Processes: Trends and Challenges

    In: Transactions on Machine Learning Research (TMLR), Vol. NA, Pages 1-27, JMLR, 11/2025.

  4. 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.

  5. 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.

  6. Jannis Blüml; Johannes Czech; Kristian Kersting

    AlphaZe(_ast)(_ast): AlphaZero-like baselines for imperfect information games are surprisingly strong

    In: Frontiers in Artificial Intelligence, Vol. 6, Pages 1-18, Frontiers, 2023.

  7. Frieder Uhlig; Lukas Struppek; Dominik Hintersdorf; Thomas Göbel; Harald Baier; Kristian Kersting

    Combining AI and AM - Improving approximate matching through transformer networks

    In: Digital Investigation, Vol. 45, No. Supplement, Pages 1-13, arXiv, 2023.

  8. Martin Kuhn; Joscha Grüger; Ralph Bergmann

    PALSYN: a method for synthetic multi-perspective event log generation with differential private guarantees

    In: Chiara Di Francescomarino; Marwan Hassani; Jan Mendling; Arik Senderovich (Hrsg.). Process Science, Vol. 2, No. 1, Pages 1-37, Springer Nature, Cham, 12/2025.

  9. Hector Kohler; Quentin Delfosse; Riad Akrour; Kristian Kersting; Philippe Preux

    Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2405.14956, Pages 1-27, arXiv, 2024.

  10. Michael Poli; Armin W. Thomas; Eric Nguyen; Pragaash Ponnusamy; Björn Deiseroth; Kristian Kersting; Taiji Suzuki; Brian L. Hie; Stefano Ermon; Christopher Ré; Ce Zhang; Stefano Massaroli

    Mechanistic Design and Scaling of Hybrid Architectures

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2403.17844, Pages 1-34, arXiv, 2024.

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