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Exploring the Geometry and Topology of Neural Network Loss Landscapes

Exploring the Geometry and Topology of Neural Network Loss Landscapes

Stefan Horoi
Je-chun Huang
Bastian Rieck
Guillaume Lajoie
Guy Wolf
Smita Krishnaswamy
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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
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
Stefan Horoi
Albert Manuel Orozco Camacho
Eugene Belilovsky
Guy Wolf
FedML
MoMe
37
9
0
07 Jul 2024
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications
Lucas Böttcher
Gregory R. Wheeler
34
0
0
05 Apr 2024
Addressing caveats of neural persistence with deep graph persistence
Addressing caveats of neural persistence with deep graph persistence
Leander Girrbach
Anders Christensen
Ole Winther
Zeynep Akata
A. Sophia Koepke
GNN
33
1
0
20 Jul 2023
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
Dhananjay Bhaskar
Kincaid MacDonald
O. Fasina
Dawson Thomas
Bastian 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
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
312
2,896
0
15 Sep 2016