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Disentangling a Deep Learned Volume Formula
v1v2 (latest)

Disentangling a Deep Learned Volume Formula

7 December 2020
J. Craven
Vishnu Jejjala
Arjun Kar
ArXiv (abs)PDFHTML

Papers citing "Disentangling a Deep Learned Volume Formula"

7 / 7 papers shown
On knot detection via picture recognition
On knot detection via picture recognition
Anne Dranowski
Yura Kabkov
Daniel Tubbenhauer
116
2
0
06 Oct 2025
Learning 3-Manifold Triangulations
Learning 3-Manifold Triangulations
Francesco Costantino
Yang-Hui He
Elli Heyes
Edward Hirst
256
1
0
15 May 2024
KAN: Kolmogorov-Arnold Networks
KAN: Kolmogorov-Arnold Networks
Ziming Liu
Yixuan Wang
Sachin Vaidya
Fabian Ruehle
James Halverson
Marin Soljacic
Thomas Y. Hou
Max Tegmark
1.3K
1,543
0
30 Apr 2024
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds
Per Berglund
Ben Campbell
Vishnu Jejjala
200
20
0
16 Dec 2021
Learning knot invariants across dimensions
Learning knot invariants across dimensions
J. Craven
M. Hughes
Vishnu Jejjala
Arjun Kar
365
20
0
30 Nov 2021
Machine-Learning Mathematical Structures
Machine-Learning Mathematical Structures
Yang-Hui He
265
45
0
15 Jan 2021
Neural Network Approximations for Calabi-Yau Metrics
Neural Network Approximations for Calabi-Yau MetricsJournal of High Energy Physics (JHEP), 2020
Vishnu Jejjala
D. M. Peña
Challenger Mishra
401
64
0
31 Dec 2020
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