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Neural Network Approximations for Calabi-Yau Metrics

31 December 2020

Papers citing "Neural Network Approximations for Calabi-Yau Metrics"

26 / 26 papers shown

Title
Approximate Ricci-flat Metrics for Calabi-Yau Manifolds Seung-Joo Lee A. Lukas 44 0 0 18 Jun 2025
Machine Learning the 6d Supergravity Landscape Nathan Brady David Tennyson Thomas Vandermeulen 45 0 0 22 May 2025
cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature Per Berglund G. Butbaia Tristan Hubsch Vishnu Jejjala Challenger Mishra D. M. Peña Justin Tan 53 2 0 25 Oct 2024
Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm Carl Henrik Ek Oisin Kim Challenger Mishra 95 2 0 15 Oct 2024
TASI Lectures on Physics for Machine Learning Jim Halverson 110 2 0 31 Jul 2024
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 117 6 0 30 May 2024
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture Sergei Gukov James Halverson Fabian Ruehle AI4CE 95 17 0 20 Feb 2024
Learning to be Simple Yang-Hui He Vishnu Jejjala Challenger Mishra Max Sharnoff 72 0 0 08 Dec 2023
$Calabi-Yau Four/Five/Six-folds as $\mathbb{P}^n_\textbf{w}$ Hypersurfaces: Machine Learning, Approximation, and Generation$ Calabi-Yau Four/Five/Six-folds as $\mathbb{P}^n_\textbf{w}$ Hypersurfaces: Machine Learning, Approximation, and Generation Edward Hirst T. S. Gherardini 108 0 0 28 Nov 2023
Metric Flows with Neural Networks James Halverson Fabian Ruehle 86 8 0 30 Oct 2023
Black holes and the loss landscape in machine learning P. Kumar Taniya Mandal Swapnamay Mondal 95 2 0 26 Jun 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Teli Ma 166 4 0 07 Feb 2023
A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation Aarjav Jain Challenger Mishra Pietro Lio 57 3 0 30 Nov 2022
Machine Learned Calabi-Yau Metrics and Curvature Per Berglund G. Butbaia Tristan Hubsch Vishnu Jejjala D. M. Peña Challenger Mishra Justin Tan 95 20 0 17 Nov 2022
Precision Machine Learning Eric J. Michaud Ziming Liu Max Tegmark 105 38 0 24 Oct 2022
Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds W. Cui Xing Gao Juntao Wang 98 5 0 21 Sep 2022
Machine Learning Algebraic Geometry for Physics Jiakang Bao Yang-Hui He Elli Heyes Edward Hirst AI4CE 77 13 0 21 Apr 2022
Intelligent Explorations of the String Theory Landscape A. Constantin LRM 123 5 0 17 Apr 2022
Cluster Algebras: Network Science and Machine Learning Pierre-Philippe Dechant Yang-Hui He Elli Heyes Edward Hirst 178 13 0 25 Mar 2022
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook Yang-Hui He 135 5 0 12 Feb 2022
Calabi-Yau Metrics, Energy Functionals and Machine-Learning A. Ashmore Lucille Calmon Yang-Hui He B. Ovrut 86 19 0 20 Dec 2021
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds Per Berglund Ben Campbell Vishnu Jejjala 104 19 0 16 Dec 2021
Machine Learning Calabi-Yau Hypersurfaces D. Berman Yang-Hui He Edward Hirst 217 36 0 12 Dec 2021
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior Jun Chen Tianxin Huang Wenzhou Chen Yong Liu 69 4 0 16 Nov 2021
Learning Size and Shape of Calabi-Yau Spaces Magdalena Larfors A. Lukas Fabian Ruehle Robin Schneider 50 45 0 02 Nov 2021
Machine-Learning Mathematical Structures Yang-Hui He 101 42 0 15 Jan 2021