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Fabian Ruehle
Fabian Ruehle
Northeastern University
Verified email at northeastern.edu - Homepage
Title
Cited by
Cited by
Year
Kan: Kolmogorov-arnold networks
Z Liu, Y Wang, S Vaidya, F Ruehle, J Halverson, M Soljačić, TY Hou, ...
arXiv preprint arXiv:2404.19756, 2024
6302024
A blood atlas of COVID-19 defines hallmarks of disease severity and specificity
DJ Ahern, Z Ai, M Ainsworth, C Allan, A Allcock, B Angus, MA Ansari, ...
Cell 185 (5), 916-938. e58, 2022
2102022
Evolving neural networks with genetic algorithms to study the String Landscape
F Ruehle
Journal of High Energy Physics 2017 (8), 1-20, 2017
1852017
Data science applications to string theory
F Ruehle
Physics Reports 839, 1-117, 2020
1742020
A Z2× Z2 standard model
M Blaszczyk, SG Nibbelink, M Ratz, F Ruehle, M Trapletti, ...
Physics Letters B 683 (4-5), 340-348, 2010
1432010
Branes with brains: exploring string vacua with deep reinforcement learning
J Halverson, B Nelson, F Ruehle
Journal of High Energy Physics 2019 (6), 1-60, 2019
1122019
Moduli-dependent Calabi-Yau and SU (3)-structure metrics from Machine Learning
LB Anderson, M Gerdes, J Gray, S Krippendorf, N Raghuram, F Ruehle
Journal of High Energy Physics 2021 (5), 1-45, 2021
842021
Heterotic MSSM on a resolved orbifold
M Blaszczyk, S Groot Nibbelink, F Ruehle, M Trapletti, PKS Vaudrevange
Journal of High Energy Physics 2010 (9), 1-63, 2010
812010
String theory and the dark glueball problem
J Halverson, BD Nelson, F Ruehle
Physical Review D 95 (4), 043527, 2017
742017
Learning to unknot
S Gukov, J Halverson, F Ruehle, P Sułkowski
Machine Learning: Science and Technology 2 (2), 025035, 2021
702021
Heterotic ℤ6–II MSSM orbifolds in blowup
SG Nibbelink, J Held, F Ruehle, M Trapletti, PKS Vaudrevange
Journal of High Energy Physics 2009 (03), 005, 2009
692009
Computational complexity of vacua and near-vacua in field and string theory
J Halverson, F Ruehle
Physical Review D 99 (4), 046015, 2019
642019
Calabi-Yau compactifications of non-supersymmetric heterotic string theory
M Blaszczyk, SG Nibbelink, O Loukas, F Ruehle
Journal of high energy physics 2015 (10), 1-43, 2015
642015
Kan: Kolmogorov-arnold networks. arXiv 2024
Z Liu, Y Wang, S Vaidya, F Ruehle, J Halverson, M Soljacic, TY Hou, ...
arXiv preprint arXiv:2404.19756, 0
56
Classifying Calabi–Yau threefolds using infinite distance limits
TW Grimm, F Ruehle, D van de Heisteeg
Communications in Mathematical Physics 382, 239-275, 2021
492021
SM‐like models on smooth Calabi‐Yau manifolds from all three heterotic string theories
S Groot Nibbelink, O Loukas, F Ruehle
Fortschritte der Physik 63 (9-10), 609-632, 2015
492015
Green-Schwarz mechanism in heterotic (2, 0) gauged linear sigma models: torsion and NS5 branes
M Blaszczyk, SG Nibbelink, F Ruehle
Journal of High Energy Physics 2011 (8), 1-22, 2011
492011
Machine learning and algebraic approaches towards complete matter spectra in 4d F-theory
M Bies, M Cvetič, R Donagi, L Lin, M Liu, F Ruehle
Journal of High Energy Physics 2021 (1), 1-71, 2021
422021
Kan: Kolmogorov-arnold networks. arXiv
Z Liu, Y Wang, S Vaidya, F Ruehle, J Halverson, M Soljačić, TY Hou, ...
arXiv preprint arXiv:2404.19756, 2024
412024
Numerical metrics for complete intersection and Kreuzer–Skarke Calabi–Yau manifolds
M Larfors, A Lukas, F Ruehle, R Schneider
Machine Learning: Science and Technology 3 (3), 035014, 2022
402022
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