Jacob Clarysse

PhD student

I am a PhD candidate at the Department of Computer Science of ETH Zürich. Prior to starting my PhD, I got my master degree in electrical engineering and information technology at ETH Zürich.


    1. Margin-based sampling in high dimensions: When being active is less efficient than staying passive
      Alexandru Tifrea*, Jacob Clarysse*, and Fanny Yang
      International Conference on Machine Learning (ICML), 2023
    2. Why adversarial training can hurt robust accuracy
      Jacob Clarysse, Julia Hörrmann, and Fanny Yang
      International Conference on Learning Representations (ICLR), 2023

    Research interests

    Currently, my main interest is in various theoretical perspectives and methods concerning trustworthy machine learning, ranging from classical common image corruptions to adversarial robustness and compositions thereof. To be extended.

    Blog posts

    Comming soon!

    Contact information

    jacobcl@inf.ethz.ch CAB E62.1 ETH Zürich