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Publications

Displaying results 611 to 620 of 14487.

  1. Matej Zecevic; Devendra Singh Dhami; Constantin A. Rothkopf; Kristian Kersting

    Structural Causal Interpretation Theorem

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.02395, Pages 0-10, arXiv, 2021.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Zhenwei Zhai; Chen Li; Zihao Wang; Marcin Grzegorzek; Lin Xu; Linshuai Zhang; Yujie Zhang; Pengfei Zeng; Ji Yin; Jing Guo; Tao Sun; Tao Jiang

    MEMI-DS: A Benchmark Melasma Image Dataset for Image Segmentation

    In: Advanced Data Mining and Applications - 21st International Conference, ADMA 2025 - Proceedings. International Conference on Advanced Data Mining and Applications (ADMA-2025), October 22-24, Kyoto, Japan, Pages 419-430, Lecture Notes in Computer Science (LNCS), Vol. 16198, ISBN 978-981-95-3456-2, Springer Nature, Singapore, 10/2025.

  10. Rui Li; Tao Jiang; Hao Xu; Marcin Grzegorzek; Xiaoyan Li; Chen Li

    TGMT-FSL: Text-Guided Multi-task Framework for Few-Shot Learning of Histopathological Image Analysis

    In: Advanced Data Mining and Applications - 21st International Conference, ADMA 2025 - Proceedings. International Conference on Advanced Data Mining and Applications (ADMA-2025), October 22-24, Kyoto, Japan, Pages 408-418, Lecture Notes in Computer Science (LNCS), Vol. 16198, ISBN 978-981-95-3456-2, Springer Nature, Singapore, 10/2025.

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