Hubert Baniecki

University of WarsawWarsaw University of Technology

I’m a PhD student in Computer Science at the University of Warsaw, MI².AI research lab led by Przemysław Biecek. Prior, I completed my MSc (2022) and BSc (2021) in Data Science at Warsaw University of Technology, Poland.

My main research interest is explainable machine learning, with particular emphasis on adversarial attacks & explanation evaluation. I also care about human-model interaction with applications in biomedicine, and support the development of several open-source Python & R packages for building predictive models responsibly.

[2022 John M. Chambers Statistical Software Award]

news [archive]

2022 Oct New paper Multi-omics disease module detection with an explainable Greedy Decision Forest is published in Scientific Reports.
2022 Sep I got admissioned to PhD in Computer Science at University of Warsaw & with external funding from the National Science Centre (Poland) PRELUDIUM BIS research grant ARES: Attack-Resistant Explanations toward Secure and trustworthy AI. Thanks to my supervisor Przemysław Biecek.
2022 Sep I graduated with an MSc in Data Science from Warsaw University of Technology by defending a thesis From manipulating to evaluating explanations of machine learning models.
2022 Jun New paper Fooling Partial Dependence via Data Poisoning is accepted for publication at the ECML PKDD 2022 conference.
2022 Mar I received the Minister’s (of Education and Science, Poland) scholarship for students for significant scientific achievements.

highlights [more]

  1. SurvSHAP(t): Time-dependent explanations of machine learning survival models
    M. Krzyziński, M. Spytek, H. Baniecki, P. Biecek
    arXiv:2208.11080v2, 2022
    This work introduces the first time-dependent explanation for interpreting survival models.
  1. ECML PKDD oral
    Fooling Partial Dependence via Data Poisoning
    H. Baniecki, W. Kretowicz, P. Biecek
    In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2022
    This work is the core of our BSc thesis defended at Warsaw University of Technology in 2021.
  2. dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
    H. Baniecki, W. Kretowicz, P. Piatyszek, J. Wisniewski, P. Biecek
    Journal of Machine Learning Research, 2021
    This work received the John M. Chambers Statistical Software Award by ASA in 2022.