Jose Cribeiro
Photo of Jose Cribeiro

Who am I?

Mathematician specialized in Probabilistic ML and Data Science, doing cool research @ KIT. If you want to know more about me, check out the About section ;).

Location: The Hilbert space (a.k.a. Göttingen)

Keywords: RKHS, statistical tests, minimax optimization, contrastive learning, generative models.

CV Google Scholar GitHub

Timeline

  1. 2026
  2. arXiv preprint
    Unbounded Characteristic and Universal Kernels

    Preprint

    Keywords: unbounded kernels, universality, RKHS

    Cite 
    @TECHREPORT{cribeiro26unbounded,
  AUTHOR =       {Jose Cribeiro-Ramallo and Florian Kalinke and Zolt{\'a}n Szab{\'o}},
  TITLE =        {Unbounded Characteristic and Universal Kernels},
  YEAR =         {2026},
  note =         {(\url{https://arxiv.org/abs/2610.09731})},
}
  3. 🛠
    Reviewer for AISTATS 2027
  4. 🛠
    Reviewer for ICLR 2027
  5. arXiv preprint
    Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD

    Preprint

    Keywords: kernel discrepancies, minimax lower bound, unbounded kernels.

    Cite 
    @TECHREPORT{cribeiro26kernel,
  AUTHOR =       {Jose Cribeiro-Ramallo and Florian Kalinke and Zolt{\'a}n Szab{\'o}},
  TITLE =        {Minimax Lower Bounds of Kernel Discrepancy Estimation: {MMD}, {HSIC}, {KSD}},
  YEAR =         {2026},
  note =         {(\url{https://arxiv.org/abs/2607.24235})},
}
  6. 🎤
    Invited Talk at UC3M, Madrid

    Department of Signal Theory & Communications, UC3M

    Slides

  7. 📄
    The Minimax Lower Bound of Kernel Stein Discrepancy Estimation

    AISTATS 2026

    Keywords: KSD, minimax lower bound, unbounded kernels.

    Cite 
    @INPROCEEDINGS{cribeiro26minimax,
  AUTHOR =       {Jose Cribeiro-Ramallo and Agnideep Aich and Florian Kalinke and Ashit Baran Aich and Zolt{\'a}n Szab{\'o}},
  TITLE =        {The Minimax Lower Bound of Kernel {S}tein Discrepancy Estimation},
  BOOKTITLE =    {International Conference on Artificial Intelligence and Statistics (AISTATS)},
  YEAR =         {2026},
  pages =        {901--909},
}
  8. 🛠
    Reviewer for NeurIPS 2026
  9. 🎓
    Teaching: Data Science Lab
  10. 🎓
    Teaching: Data Science for Scientific Data · Lab Course
  11. 2025
  12. arXiv preprint
    The Minimax Lower Bound of Kernel Stein Discrepancy Estimation

    Preprint

  13. 🛠
    Reviewer for AISTATS 2026
  14. 🛠
    Reviewer for ICLR 2026
  15. 📄
    Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data

    Transactions on Machine Learning Research (TMLR)

    Keywords: generative models, RKHS, operator learning, outlier detection, subspace selection

    Cite 
    @ARTICLE{cribeiro25adversarial,
  AUTHOR =       {Jose Cribeiro-Ramallo and Federico Matteucci and Paul Enciu and Alexander Jenke and Vadim Arzamasov and Thorsten Strufe and Klemens B{\"o}hm},
  TITLE =        {Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data},
  JOURNAL =      {Transactions on Machine Learning Research},
  YEAR =         {2025},
}
  16. arXiv preprint
    Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data

    Preprint

  17. 🎓
    Teaching: Data Science Lab
  18. 🎓
    Teaching: Data Science for Scientific Data · Lab Course
  19. 2024
  20. 📄
    Efficient Generation of Hidden Outliers for Improved Outlier Detection

    ACM Transactions on Knowledge Discovery from Data (TKDD), 18(9)

    Keywords: outlier generation, self-supervised learning, outlier detection

    Cite 
    @ARTICLE{cribeiro24hidden,
  AUTHOR =       {Jose Cribeiro-Ramallo and Vadim Arzamasov and Klemens B{\"o}hm},
  TITLE =        {Efficient Generation of Hidden Outliers for Improved Outlier Detection},
  JOURNAL =      {ACM Transactions on Knowledge Discovery from Data},
  YEAR =         {2024},
  volume =       {18},
  number =       {9},
  pages =        {1--21},
}
  21. 🛠
    Reviewer for ICLR 2025
  22. arXiv preprint
    Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data

    Preprint

    Cite 
    @TECHREPORT{cribeiro24gsaal,
  AUTHOR =       {Jose Cribeiro-Ramallo and Vadim Arzamasov and Federico Matteucci and Denis Wambold and Klemens B{\"o}hm},
  TITLE =        {Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data},
  YEAR =         {2024},
  note =         {(\url{https://arxiv.org/abs/2404.14451})},
}
  23. 🎓
    Teaching: Data Science Lab
  24. 🎓
    Teaching: Data Science for Scientific Data · Lab Course
  25. arXiv preprint
    Efficient Generation of Hidden Outliers for Improved Outlier Detection

    Preprint