Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning

20 February 2023

Papers citing "Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning"

5 / 5 papers shown

Title
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 41 0 0 26 Apr 2025
Spectral-factorized Positive-definite Curvature Learning for NN Training Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard E. Turner Roger B. Grosse 47 0 0 10 Feb 2025
Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen Anna Kuzina Babak Esmaeili Jakub M. Tomczak 39 0 0 09 Apr 2024
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 216 402 0 24 Jan 2022
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 127 1,546 0 11 Jan 2021