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Publications

Displaying results 251 to 260 of 646.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.04064, Pages 1-17, arXiv, 2024.

  6. Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami

    Forecasting Company Fundamentals

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2411.05791, Pages 1-26, arXiv, 2024.

  7. Nils Grandien; Quentin Delfosse; Kristian Kersting

    Interpretable end-to-end Neurosymbolic Reinforcement Learning agents

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.14371, Pages 1-19, arXiv, 2024.

  8. Subarnaduti Paul; Manuel Brack; Patrick Schramowski; Kristian Kersting; Martin Mundt

    Core Tokensets for Data-efficient Sequential Training of Transformers

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.05800, Pages 1-16, arXiv, 2024.

  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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