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Neural Network Approximations for Calabi-Yau Metrics
v1v2 (latest)

Neural Network Approximations for Calabi-Yau Metrics

Journal of High Energy Physics (JHEP), 2020
31 December 2020
Vishnu Jejjala
D. M. Peña
Challenger Mishra
ArXiv (abs)PDFHTML

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

27 / 27 papers shown
Physics-informed neural network solves minimal surfaces in curved spacetime
Physics-informed neural network solves minimal surfaces in curved spacetime
Koji Hashimoto
Koichi Kyo
Masaki Murata
Gakuto Ogiwara
Norihiro Tanahashi
PINNAI4CE
511
2
0
13 Sep 2025
Approximate Ricci-flat Metrics for Calabi-Yau Manifolds
Approximate Ricci-flat Metrics for Calabi-Yau Manifolds
Seung-Joo Lee
A. Lukas
155
2
0
18 Jun 2025
Machine Learning the 6d Supergravity Landscape
Machine Learning the 6d Supergravity Landscape
Nathan Brady
David Tennyson
Thomas Vandermeulen
159
1
0
22 May 2025
cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature
cymyc -- Calabi-Yau Metrics, Yukawas, and CurvatureJournal of High Energy Physics (JHEP), 2024
Per Berglund
G. Butbaia
Tristan Hubsch
Vishnu Jejjala
Challenger Mishra
D. M. Peña
Justin Tan
178
2
0
25 Oct 2024
Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm
Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm
Carl Henrik Ek
Oisin Kim
Challenger Mishra
222
2
0
15 Oct 2024
TASI Lectures on Physics for Machine Learning
TASI Lectures on Physics for Machine Learning
Jim Halverson
360
5
0
31 Jul 2024
A Triumvirate of AI Driven Theoretical Discovery
A Triumvirate of AI Driven Theoretical Discovery
Yang-Hui He
AI4CE
289
16
0
30 May 2024
Rigor with Machine Learning from Field Theory to the Poincaré
  Conjecture
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture
Sergei Gukov
James Halverson
Fabian Ruehle
AI4CE
170
22
0
20 Feb 2024
Learning to be Simple
Learning to be Simple
Yang-Hui He
Vishnu Jejjala
Challenger Mishra
Max Sharnoff
171
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 Pwn\mathbb{P}^n_\textbf{w}Pwn​ Hypersurfaces: Machine Learning, Approximation, and Generation
Edward Hirst
T. S. Gherardini
391
0
0
28 Nov 2023
Metric Flows with Neural Networks
Metric Flows with Neural Networks
James Halverson
Fabian Ruehle
307
10
0
30 Oct 2023
Black holes and the loss landscape in machine learning
Black holes and the loss landscape in machine learningJournal of High Energy Physics (JHEP), 2023
P. Kumar
Taniya Mandal
Swapnamay Mondal
245
2
0
26 Jun 2023
Learning Discretized Neural Networks under Ricci Flow
Learning Discretized Neural Networks under Ricci Flow
Jun Chen
Han Chen
Mengmeng Wang
Guang Dai
Ivor W. Tsang
Wenshu Fan
364
5
0
07 Feb 2023
A physics-informed search for metric solutions to Ricci flow, their
  embeddings, and visualisation
A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation
Aarjav Jain
Challenger Mishra
Pietro Lio
135
3
0
30 Nov 2022
Machine Learned Calabi-Yau Metrics and Curvature
Machine Learned Calabi-Yau Metrics and CurvatureAdvances in Theoretical and Mathematical Physics (ATMP), 2022
Per Berglund
G. Butbaia
Tristan Hubsch
Vishnu Jejjala
D. M. Peña
Challenger Mishra
Justin Tan
250
23
0
17 Nov 2022
Precision Machine Learning
Precision Machine Learning
Eric J. Michaud
Ziming Liu
Max Tegmark
190
40
0
24 Oct 2022
Machine Learning on generalized Complete Intersection Calabi-Yau
  Manifolds
Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds
W. Cui
Xing Gao
Juntao Wang
247
7
0
21 Sep 2022
Machine Learning Algebraic Geometry for Physics
Machine Learning Algebraic Geometry for Physics
Jiakang Bao
Yang-Hui He
Elli Heyes
Edward Hirst
AI4CE
169
14
0
21 Apr 2022
Intelligent Explorations of the String Theory Landscape
Intelligent Explorations of the String Theory Landscape
A. Constantin
LRM
324
5
0
17 Apr 2022
Cluster Algebras: Network Science and Machine Learning
Cluster Algebras: Network Science and Machine LearningJournal of Computational Algebra (JCA), 2022
Pierre-Philippe Dechant
Yang-Hui He
Elli Heyes
Edward Hirst
388
13
0
25 Mar 2022
From the String Landscape to the Mathematical Landscape: a
  Machine-Learning Outlook
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook
Yang-Hui He
322
5
0
12 Feb 2022
Calabi-Yau Metrics, Energy Functionals and Machine-Learning
Calabi-Yau Metrics, Energy Functionals and Machine-Learning
A. Ashmore
Lucille Calmon
Yang-Hui He
B. Ovrut
193
22
0
20 Dec 2021
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds
Per Berglund
Ben Campbell
Vishnu Jejjala
197
20
0
16 Dec 2021
Machine Learning Calabi-Yau Hypersurfaces
Machine Learning Calabi-Yau Hypersurfaces
D. Berman
Yang-Hui He
Edward Hirst
419
40
0
12 Dec 2021
Thoughts on the Consistency between Ricci Flow and Neural Network
  Behavior
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior
Jun Chen
Tianxin Huang
Wenzhou Chen
Yong Liu
282
4
0
16 Nov 2021
Learning Size and Shape of Calabi-Yau Spaces
Learning Size and Shape of Calabi-Yau Spaces
Magdalena Larfors
A. Lukas
Fabian Ruehle
Robin Schneider
167
50
0
02 Nov 2021
Machine-Learning Mathematical Structures
Machine-Learning Mathematical Structures
Yang-Hui He
261
45
0
15 Jan 2021
1
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