Fabian Ruehle

17 papers A* 1Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fermions and Supersymmetry in Neural Network Field Theories.
CoRR
Samuel Frank, James Halverson, Anindita Maiti, Fabian Ruehle
2025 J jnl
Improving Generative Inverse Design of Rectangular Patch Antennas with Test Time Optimization.
CoRR
Beck LaBash, Shahriar Khushrushahi, Fabian Ruehle
2025 J jnl
Interpretable Machine Learning for Kronecker Coefficients.
CoRR
Giorgi Butbaia, Kyu-Hwan Lee, Fabian Ruehle
2025 A* conf
KAN: Kolmogorov-Arnold Networks.
ICLR
Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark
2025 J jnl
On the Learnability of Knot Invariants: Representation, Predictability, and Neural Similarity.
CoRR
Audrey Lindsay, Fabian Ruehle
2025 J jnl
Searching for ribbons with machine learning.
Mach. Learn. Sci. Technol.
Sergei Gukov, James Halverson, Ciprian Manolescu, Fabian Ruehle
2025 J jnl
Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks.
CoRR
Thomas R. Harvey, Fabian Ruehle, Cristofero S. Fraser-Taliente, James Halverson
2024 J jnl
Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning.
CoRR
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
2024 J jnl
KAN: Kolmogorov-Arnold Networks.
CoRR
Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark
2024 J jnl
Metric flows with neural networks.
Mach. Learn. Sci. Technol.
James Halverson, Fabian Ruehle
2024 J jnl
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture.
CoRR
Sergei Gukov, James Halverson, Fabian Ruehle
2023 J jnl
Metric Flows with Neural Networks.
CoRR
James Halverson, Fabian Ruehle
2023 J jnl
Searching for ribbons with machine learning.
CoRR
Sergei Gukov, James Halverson, Ciprian Manolescu, Fabian Ruehle
2022 J jnl
Numerical metrics for complete intersection and Kreuzer-Skarke Calabi-Yau manifolds.
Mach. Learn. Sci. Technol.
Magdalena Larfors, André Lukas, Fabian Ruehle, Robin Schneider
2021 J jnl
Learning Size and Shape of Calabi-Yau Spaces.
CoRR
Magdalena Larfors, André Lukas, Fabian Ruehle, Robin Schneider
2021 J jnl
Learning to unknot.
Mach. Learn. Sci. Technol.
Sergei Gukov, James Halverson, Fabian Ruehle, Piotr Sulkowski
2020 J jnl
Learning to Unknot.
CoRR
Sergei Gukov, James Halverson, Fabian Ruehle, Piotr Sulkowski