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Year: 2021
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Displaying results 41 to 50 of 89.

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

    Interactively Generating Explanations for Transformer Language Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.02058, Pages 0-10, arXiv, 2021.

  2. Zhongjie Yu; Devendra Singh Dhami; Kristian Kersting

    Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.06587, Pages 0-10, arXiv, 2021.

  3. Steven Lang; Fabrizio Ventola; Kristian Kersting

    DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.06148, Pages 0-10, arXiv, 2021.

  4. Matej Zecevic; Devendra Singh Dhami; Petar Velickovic; Kristian Kersting

    Relating Graph Neural Networks to Structural Causal Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.04173, Pages 0-10, arXiv, 2021.

  5. Maximilian Otte; Quentin Delfosse; Johannes Czech; Kristian Kersting

    Generative Adversarial Neural Cellular Automata

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2108.04328, Pages 0-10, arXiv, 2021.

  6. Nils Thoma; Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

    RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2106.04148, Pages 0-10, arXiv, 2021.

  7. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Intriguing Parameters of Structural Causal Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.12697, Pages 0-10, arXiv, 2021.

  8. Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser

    User Label Leakage from Gradients in Federated Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.09369, Pages 0-10, arXiv, 2021.

  9. Joe Watson; Jan Peters

    Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

    In: 2021 American Control Conference. American Control Conference (ACC-2021), May 25-28, New Orleans, LA, USA, Pages 1231-1236, IEEE, 2021.

  10. Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters

    Latent Derivative Bayesian Last Layer Networks

    In: Arindam Banerjee; Kenji Fukumizu (Hrsg.). The 24th International Conference on Artificial Intelligence and Statistics. International Conference on …

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