Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2202.07590
Cited By
Identifying equivalent Calabi--Yau topologies: A discrete challenge from math and physics for machine learning
15 February 2022
Vishnu Jejjala
W. Taylor
Andrew P. Turner
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Identifying equivalent Calabi--Yau topologies: A discrete challenge from math and physics for machine learning"
10 / 10 papers shown
Title
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds
Per Berglund
Ben Campbell
Vishnu Jejjala
77
20
0
16 Dec 2021
Machine Learning Calabi-Yau Hypersurfaces
D. Berman
Yang-Hui He
Edward Hirst
165
34
0
12 Dec 2021
Deep multi-task mining Calabi-Yau four-folds
Harold Erbin
Riccardo Finotello
Robin Schneider
M. Tamaazousti
82
17
0
04 Aug 2021
Machine Learning Calabi-Yau Four-folds
Yang-Hui He
A. Lukas
73
32
0
05 Sep 2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study
Harold Erbin
Riccardo Finotello
53
31
0
30 Jul 2020
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds
Harold Erbin
Riccardo Finotello
98
27
0
27 Jul 2020
The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning
Yang-Hui He
AI4CE
56
75
0
07 Dec 2018
Machine Learning CICY Threefolds
Kieran Bull
Yang-Hui He
Vishnu Jejjala
Challenger Mishra
43
81
0
08 Jun 2018
Deep-Learning the Landscape
Yang-Hui He
AI4CE
43
101
0
08 Jun 2017
Why does deep and cheap learning work so well?
Henry W. Lin
Max Tegmark
David Rolnick
85
609
0
29 Aug 2016
1