Learning to Unknot

Learning to Unknot

28 October 2020

James Halverson

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Papers citing "Learning to Unknot"

18 / 18 papers shown

Title
On the Learnability of Knot Invariants: Representation, Predictability, and Neural Similarity Audrey Lindsay Fabian Ruehle 81 1 0 17 Feb 2025
Can Transformers Do Enumerative Geometry? Baran Hashemi Roderic G. Corominas Alessandro Giacchetto 542 5 0 27 Aug 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 330 602 0 30 Apr 2024
Neural Network Field Theories: Non-Gaussianity, Actions, and Locality M. Demirtaş James Halverson Anindita Maiti M. Schwartz Keegan Stoner AI4CE 75 10 0 06 Jul 2023
Geometric deep learning approach to knot theory Lennart Jaretzki AI4CE 35 1 0 26 May 2023
Searching for ribbons with machine learning Sergei Gukov James Halverson Ciprian Manolescu Fabian Ruehle 97 13 0 18 Apr 2023
Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds W. Cui Xing Gao Juntao Wang 89 4 0 21 Sep 2022
Simplifying Polylogarithms with Machine Learning Aurélien Dersy M. Schwartz Xiao-Yan Zhang AI4CE 218 16 0 08 Jun 2022
Towards Understanding Grokking: An Effective Theory of Representation Learning Ziming Liu O. Kitouni Niklas Nolte Eric J. Michaud Max Tegmark Mike Williams AI4CE 112 154 0 20 May 2022
Intelligent Explorations of the String Theory Landscape A. Constantin LRM 87 5 0 17 Apr 2022
Cluster Algebras: Network Science and Machine Learning Pierre-Philippe Dechant Yang-Hui He Elli Heyes Edward Hirst 133 12 0 25 Mar 2022
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook Yang-Hui He 121 5 0 12 Feb 2022
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds Per Berglund Ben Campbell Vishnu Jejjala 92 20 0 16 Dec 2021
Untangling Braids with Multi-agent Q-Learning Abdullah Khan A. Vernitski A. Lisitsa AI4CE 43 6 0 29 Sep 2021
Heterotic String Model Building with Monad Bundles and Reinforcement Learning A. Constantin T. R. Harvey A. Lukas 60 24 0 16 Aug 2021
Neural Network Approximations for Calabi-Yau Metrics Vishnu Jejjala D. M. Peña Challenger Mishra 70 55 0 31 Dec 2020
Disentangling a Deep Learned Volume Formula J. Craven Vishnu Jejjala Arjun Kar 81 19 0 07 Dec 2020
Machine Learning Lie Structures & Applications to Physics Heng-Yu Chen Yang-Hui He Shailesh Lal Suvajit Majumder AI4CE 87 21 0 02 Nov 2020