Philipp Anthes (M.Sc.) has been a doctoral candidate at the chair since 2023 and conducts research on topics in machine learning and evolutionary learning. He completed his B.Sc. in Economics from 2017 to 2020 and his M.Sc. in Management from 2020 to 2023.

My research focuses on the application and methodological advancement of approaches from Machine Learning and Evolutionary Learning. I particularly focus on Large Language Models (LLMs) and Genetic Programming (GP).

2026

Anthes, P. (2026). Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP. In Lecture Notes in Computer Science (pp. 51-66). Springer Nature Switzerland. DOI

2025

Anthes, P., Sobania, D., and Rothlauf, F. (2025). Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems. CoRR, abs/2511.09416.
Anthes, P., Sobania, D., and Rothlauf, F. (2025). Transformer Semantic Genetic Programming for Symbolic Regression. PROCEEDINGS OF THE 2025 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2025, 952-960. DOI Author/Publisher URL

I currently supervise the following courses:

  • Winter Semester 2025/2026: Development of Business Information Systems (more information)

I am also happy to supervise bachelor’s and master’s theses related to my research fields. You can either select a topic from our suggested topics (more information) or contact me directly via email with initial topic proposals.