Graph Laplacians, Riemannian Manifolds and their Machine-Learning

30 June 2020

Papers citing "Graph Laplacians, Riemannian Manifolds and their Machine-Learning"

10 / 10 papers shown

Title
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions P. Abry G. Didier Oliver Orejola H. Wendt 96 0 0 30 Jan 2025
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 53 4 0 30 May 2024
Machine Learning Algebraic Geometry for Physics Jiakang Bao Yang-Hui He Elli Heyes Edward Hirst AI4CE 19 12 0 21 Apr 2022
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook Yang-Hui He 28 5 0 12 Feb 2022
Machine-Learning the Classification of Spacetimes Yang-Hui He J. M. Ipiña 24 4 0 05 Jan 2022
Machine Learning Calabi-Yau Hypersurfaces D. Berman Yang-Hui He Edward Hirst 32 34 0 12 Dec 2021
Disentangling a Deep Learned Volume Formula J. Craven Vishnu Jejjala Arjun Kar 29 19 0 07 Dec 2020
Machine-Learning Number Fields Yang-Hui He Kyu-Hwan Lee Thomas Oliver 6 10 0 17 Nov 2020
Machine-Learning the Sato--Tate Conjecture Yang-Hui He Kyu-Hwan Lee Thomas Oliver 17 21 0 02 Oct 2020
Explore and Exploit with Heterotic Line Bundle Models Magdalena Larfors Robin Schneider 41 38 0 10 Mar 2020