Piotr Wyrwiński

Neurosymbolic learning and structured representations.

Piotr_Wyrwinski.png

Poznan, Poland

I am a PhD student in artificial intelligence at Poznan University of Technology, advised by Prof. Krzysztof Krawiec. I also work as a machine learning researcher at the Poznan Supercomputing and Networking Center.

My research asks how neural networks can learn representations with explicit structure and use them for reasoning or search. I work on learned discrete representations and program synthesis. Current projects include variable-length visual programs and neural guidance for symbolic regression. At PSNC, I also work on regional weather forecasting with foundation models.

selected publications

  1. Preprint
    Structure over Pixels: Learning Variable-Length Visual Programs
    Piotr Wyrwiński, Kacper Dobek, and Krzysztof Krawiec
    arXiv preprint arXiv:2605.27696, 2026
  2. GECCO
    Learning Semantics-aware Search Operators for Genetic Programming
    Piotr Wyrwiński and Krzysztof Krawiec
    In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025
  3. AAAI
    Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)
    Piotr Wyrwiński and Krzysztof Krawiec
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2025
  4. GECCO
    Guiding Genetic Programming with Graph Neural Networks
    Piotr Wyrwiński and Krzysztof Krawiec
    In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024