Paul Kahlmeyer

According to our database, Paul Kahlmeyer authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Analyzing Generalization in Pre-Trained Symbolic Regression.

Henrik Voigt, Paul Kahlmeyer, Kai Lawonn, Michael Habeck, Joachim Giesen

CoRR, September, 2025

Search based symbolic regression.

Paul Kahlmeyer

PhD thesis, 2025

Discovering Symmetries of ODEs by Symbolic Regression.

Paul Kahlmeyer, Niklas Merk, Joachim Giesen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Dimension Reduction for Symbolic Regression.

Paul Kahlmeyer, Markus Fischer, Joachim Giesen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Scaling Up Unbiased Search-based Symbolic Regression.

Paul Kahlmeyer, Joachim Giesen, Michael Habeck, Henrik Voigt

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Mixed membership Gaussians.

Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt

J. Multivar. Anal., May, 2023

2022

Leveraging the Wikipedia Graph for Evaluating Word Embeddings.

Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Method of Moments for Topic Models with Mixed Discrete and Continuous Features.

Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt, Sina Zarrieß

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021