Bartlomiej "Bart" Sobieski

Researcher in generative modeling and explainability.

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I am a second-year Ph.D. student in Computer Science at the University of Warsaw, under the supervision of Prof. Przemysław Biecek and co-supervision of Dr. Matthew Tivnan. My research focuses on developing generative modeling techniques to construct novel explainability algorithms for computer vision models. My greatest passion lies in exploring advanced mathematical methodologies and translating them into scalable practical use cases.

Currently, I serve as an AI Researcher and Focus Lead at the Centre for Credible AI. Recently, I completed a Visiting Researcher tenure at Harvard Medical School & Massachusetts General Hospital.

selected publications

  1. Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
    Bartłomiej Sobieski, Jakub Grzywaczewski, Karol Dobiczek, and 6 more authors
    In International Conference on Machine Learning (ICML), 2026
  2. System-Embedded Diffusion Bridge Models
    Bartłomiej Sobieski, Matthew Tivnan, Yuang Wang, and 5 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
  3. Rethinking Visual Counterfactual Explanations Through Region Constraint
    Bartłomiej Sobieski, Jakub Grzywaczewski, Bartlomiej Sadlej, and 2 more authors
    In International Conference on Learning Representations (ICLR), 2025
  4. Global Counterfactual Directions
    Bartłomiej Sobieski and Przemyslaw Biecek
    In European Conference on Computer Vision (ECCV), 2024