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Publications

Displaying results 291 to 300 of 661.
  1. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13453, Pages 0-10, arXiv, 2023.

  2. Quentin Delfosse; Jannis Blüml; Bjarne Gregori; Sebastian Sztwiertnia; Kristian Kersting

    OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.08649, Pages 0-10, arXiv, 2023.

  3. Lukas Helff; Wolfgang Stammer; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    V-LoL: A Diagnostic Dataset for Visual Logical Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.07743, Pages 0-10, arXiv, 2023.

  4. Steven Braun; Martin Mundt; Kristian Kersting

    Deep Classifier Mimicry without Data Access

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.02090, Pages 0-10, arXiv, 2023.

  5. Sahil Sidheekh; Kristian Kersting; Sriraam Natarajan

    Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference

    In: Robin J. Evans; Ilya Shpitser (Hrsg.). Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI), July 31 - August 4, Pittsburgh, PA, USA, Pages 1964-1973, Proceedings of Machine Learning Research, Vol. 216, PMLR, 2023.

  6. Shoaib Ahmed Siddiqui; Dominique Mercier; Mohsin Munir; Andreas Dengel; Sheraz Ahmed

    TSViz: Demystification of Deep Learning Models for Time-Series Analysis

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1802.02952, Pages 1-13, ArXiv, 2018.

  7. Lukas Ruff; Robert Vandermeulen; Nico Goernitz; Lucas Deecke; Shoaib Ahmed Siddiqui; Alexander Binder; Emmanuel Müller; Marius Kloft

    Deep One-Class Classification

    In: International Conference on Machine Learning (ICML-2018). International Conference on Machine Learning (ICML-2018), Proceedings of Machine Learning Research, 2018.

  8. David Harbecke; Robert Schwarzenberg; Christoph Alt

    Learning Explanations From Language Data

    In: The 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP - Proceedings of the First Workshop. Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), located at EMNLP 2018, November 1, Brussels, Belgium, ISBN 978-1-948087-71-1, The Association for Computational Linguistics, 2018.

  9. Feiyu Xu; Hong Li; Yi Zhang; Hans Uszkoreit; Sebastian Krause

    Parse reranking for domain-adaptative relation extraction

    In: Journal of Logic and Computation (JLC), Vol. n.A. Pages 0-0, Oxford Univ. Press, 2012.