Fabian Ruehle

According to our database, Fabian Ruehle authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Improving Generative Inverse Design of Rectangular Patch Antennas with Test Time Optimization.

Beck LaBash, Shahriar Khushrushahi, Fabian Ruehle

CoRR, May, 2025

Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks.

Thomas R. Harvey, Fabian Ruehle, Cristofero S. Fraser-Taliente, James Halverson

CoRR, May, 2025

On the Learnability of Knot Invariants: Representation, Predictability, and Neural Similarity.

Audrey Lindsay, Fabian Ruehle

CoRR, February, 2025

Interpretable Machine Learning for Kronecker Coefficients.

Giorgi Butbaia, Kyu-Hwan Lee, Fabian Ruehle

CoRR, February, 2025

KAN: Kolmogorov-Arnold Networks.

Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Metric flows with neural networks.

James Halverson, Fabian Ruehle

Mach. Learn. Sci. Technol., 2024

Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning.

Simon Frieder, Jonas Bayer, Katherine M. Collins, Julius Berner, Jacob Loader, András Juhász, Fabian Ruehle, Sean Welleck, Gabriel Poesia, Ryan-Rhys Griffiths, Adrian Weller, Anirudh Goyal, Thomas Lukasiewicz, Timothy Gowers

CoRR, 2024

Rigor with Machine Learning from Field Theory to the Poincaré Conjecture.

Sergei Gukov, James Halverson, Fabian Ruehle

CoRR, 2024

2023

Searching for ribbons with machine learning.

Sergei Gukov, James Halverson, Ciprian Manolescu, Fabian Ruehle

CoRR, 2023

2022

Numerical metrics for complete intersection and Kreuzer-Skarke Calabi-Yau manifolds.

Magdalena Larfors, André Lukas, Fabian Ruehle, Robin Schneider

Mach. Learn. Sci. Technol., September, 2022

2021

Learning to unknot.

Sergei Gukov, James Halverson, Fabian Ruehle, Piotr Sulkowski

Mach. Learn. Sci. Technol., 2021

Learning Size and Shape of Calabi-Yau Spaces.

Magdalena Larfors, André Lukas, Fabian Ruehle, Robin Schneider

CoRR, 2021