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Visualizing high-dimensional loss landscapes with Hessian directions

Visualizing high-dimensional loss landscapes with Hessian directions

28 August 2022
Lucas Böttcher
Gregory R. Wheeler
ArXivPDFHTML

Papers citing "Visualizing high-dimensional loss landscapes with Hessian directions"

3 / 3 papers shown
Title
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
32
0
0
05 Apr 2024
Gradient-free training of neural ODEs for system identification and
  control using ensemble Kalman inversion
Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion
Lucas Böttcher
BDL
24
11
0
15 Jul 2023
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
287
2,890
0
15 Sep 2016
1