Neural Network Approximations for Calabi-Yau Metrics

31 December 2020

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

26 / 26 papers shown

Title
cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature Per Berglund G. Butbaia Tristan Hubsch Vishnu Jejjala Challenger Mishra D. M. Peña Justin Tan 22 1 0 25 Oct 2024
Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm Carl Henrik Ek Oisin Kim Challenger Mishra 16 2 0 15 Oct 2024
TASI Lectures on Physics for Machine Learning Jim Halverson 30 1 0 31 Jul 2024
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 45 4 0 30 May 2024
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture Sergei Gukov James Halverson Fabian Ruehle AI4CE 44 16 0 20 Feb 2024
Learning to be Simple Yang-Hui He Vishnu Jejjala Challenger Mishra Max Sharnoff 22 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 29 0 0 28 Nov 2023
Metric Flows with Neural Networks James Halverson Fabian Ruehle 6 8 0 30 Oct 2023
Black holes and the loss landscape in machine learning P. Kumar Taniya Mandal Swapnamay Mondal 33 2 0 26 Jun 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Y. Liu 25 2 0 07 Feb 2023
A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation Aarjav Jain Challenger Mishra Pietro Lio' 15 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 13 19 0 17 Nov 2022
Precision Machine Learning Eric J. Michaud Ziming Liu Max Tegmark 24 34 0 24 Oct 2022
Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds W. Cui Xing Gao Juntao Wang 27 4 0 21 Sep 2022
Machine Learning Algebraic Geometry for Physics Jiakang Bao Yang-Hui He Elli Heyes Edward Hirst AI4CE 19 12 0 21 Apr 2022
Intelligent Explorations of the String Theory Landscape A. Constantin LRM 21 5 0 17 Apr 2022
Cluster Algebras: Network Science and Machine Learning Pierre-Philippe Dechant Yang-Hui He Elli Heyes Edward Hirst 35 11 0 25 Mar 2022
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook Yang-Hui He 20 5 0 12 Feb 2022
Calabi-Yau Metrics, Energy Functionals and Machine-Learning A. Ashmore Lucille Calmon Yang-Hui He B. Ovrut 14 17 0 20 Dec 2021
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds Per Berglund Ben Campbell Vishnu Jejjala 50 20 0 16 Dec 2021
Machine Learning Calabi-Yau Hypersurfaces D. Berman Yang-Hui He Edward Hirst 23 34 0 12 Dec 2021
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior Jun Chen Tianxin Huang Wenzhou Chen Yong Liu 6 5 0 16 Nov 2021
Learning Size and Shape of Calabi-Yau Spaces Magdalena Larfors A. Lukas Fabian Ruehle Robin Schneider 6 41 0 02 Nov 2021
Machine-Learning Mathematical Structures Yang-Hui He 17 41 0 15 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 208 2,287 0 18 Oct 2020
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds Harold Erbin Riccardo Finotello 51 27 0 27 Jul 2020