Research & Academia

Publications

Peer-reviewed Conference Proceedings
  • von Pichowski, J & von Mammen, S. Engineering Surrogate Models for Boid Systems in. ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference (July 2023), 102. https://doi.org/10.1162/isal_a_00636.
Working Papers
  • von Pichowski, J, Blöcker, C. & Scholtes, I. Hierarchical Graph Pooling Based on Minimum Description Length 2024. arXiv: 2409.10263.
  • von Pichowski, J, Perri, V., Qarkaxhija, L. & Scholtes, I. Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs 2024. arXiv: 2406.16552.
Conference Contributions
  • Dengel, R.; N., et al., QUEST ON BEXUS. 24th ESA Symposium on European Rocket & Balloon Programmes and Related Research (Essen, Germany). 2019.
  • Dengel, R.; N., et al., Quad-spectral Unaided Experimental Scanner of Topography on BEXUS 273rd Symposium on Space Educational Activities (Leicester, England). 2020. DOI:10.29311/2020.10

Presentations

Talks
  • von Pichowski, J, Blöcker, C. & Scholtes, I. Hierarchical Graph Pooling Based on Minimum Description Length. LoG Meet Up 2024 (Aachen, Germany). Nov. 2024.
Posters
  • von Pichowski, J, Perri, V., Qarkaxhija, L. & Scholtes, I. Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs. Learning on Graphs Conference (Online). Nov. 2024.
  • von Pichowski, J, & von Mammen, S. Engineering Surrogate Models for Boid Systems ALIFE 2023: Ghost in the Machine (Sapporo, Japan). July 2023.

Teaching

  • Assistant Instructor, 2024 - present, GNN Lab @ Julius-Maximilians University of Würzburg, Mentoring of students in solving small GNN related research questions
  • Teaching Assistant 2017 - 2019, Java Programming Lab @ Julius-Maximilians University of Würzburg, Development of programming exercises & exams, tutoring of students