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  1. Jonas Seng; Pooja Prasad; Devendra Singh Dhami; Kristian Kersting

    HANF: Hyperparameter And Neural Architecture Search in Federated Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.12342, Pages 0-10, arXiv, 2022.

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

    Can Foundation Models Talk Causality?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.10591, Pages 0-10, arXiv, 2022.

  3. Florian Peter Busch; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    Attributions Beyond Neural Networks: The Linear Program Case

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07203, Pages 0-10, arXiv, 2022.

  4. Salahedine Youssef; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Towards a Solution to Bongard Problems: A Causal Approach

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07196, Pages 0-10, arXiv, 2022.

  5. Jonas Seng; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07195, Pages 0-10, arXiv, 2022.

  6. David Steinmann; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Machines Explaining Linear Programs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07194, Pages 0-10, arXiv, 2022.

  7. Xiaoting Shao; Kristian Kersting

    Gradient-based Counterfactual Explanations using Tractable Probabilistic Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2205.07774, Pages 0-10, arXiv, 2022.

  8. Felix Friedrich; Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Interactively Providing Explanations for Transformer Language Models

    In: Stefan Schlobach; María Pérez-Ortiz; Myrthe Tielman (Hrsg.). HHAI 2022: Augmenting Human Intellect - Proceedings of the First International …

  9. Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

    In: FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and …

  10. Lukas Struppek; Dominik Hintersdorf; Daniel Neider; Kristian Kersting

    Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

    In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM …