Exploring the Geometry and Topology of Neural Network Loss Landscapes

Exploring the Geometry and Topology of Neural Network Loss Landscapes

31 January 2021

Bastian Alexander Rieck

Guillaume Lajoie

Guy Wolf

Smita Krishnaswamy

Papers citing "Exploring the Geometry and Topology of Neural Network Loss Landscapes"

5 / 5 papers shown

Title
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis Stefan Horoi Albert Manuel Orozco Camacho Eugene Belilovsky Guy Wolf FedML MoMe 29 9 0 07 Jul 2024
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications Lucas Böttcher Gregory R. Wheeler 32 0 0 05 Apr 2024
Addressing caveats of neural persistence with deep graph persistence Leander Girrbach Anders Christensen Ole Winther Zeynep Akata A. Sophia Koepke GNN 20 1 0 20 Jul 2023
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data Dhananjay Bhaskar Kincaid MacDonald O. Fasina Dawson Thomas Bastian Alexander Rieck Ian M. Adelstein Smita Krishnaswamy DiffM 25 7 0 08 Jun 2022
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 284 2,890 0 15 Sep 2016