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Black holes and the loss landscape in machine learning

Black holes and the loss landscape in machine learning

26 June 2023
P. Kumar
Taniya Mandal
Swapnamay Mondal
ArXivPDFHTML

Papers citing "Black holes and the loss landscape in machine learning"

6 / 6 papers shown
Title
Structures of Neural Network Effective Theories
Structures of Neural Network Effective Theories
cCaugin Ararat
Tianji Cai
Cem Tekin
Zhengkang Zhang
47
7
0
03 May 2023
Deep multi-task mining Calabi-Yau four-folds
Deep multi-task mining Calabi-Yau four-folds
Harold Erbin
Riccardo Finotello
Robin Schneider
M. Tamaazousti
35
17
0
04 Aug 2021
Machine Learning Calabi-Yau Four-folds
Machine Learning Calabi-Yau Four-folds
Yang-Hui He
A. Lukas
32
32
0
05 Sep 2020
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds
Harold Erbin
Riccardo Finotello
43
27
0
27 Jul 2020
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
273
2,878
0
15 Sep 2016
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
175
1,184
0
30 Nov 2014
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