Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1901.02354
Cited By
v1
v2 (latest)
Geometrization of deep networks for the interpretability of deep learning systems
6 January 2019
Xiao Dong
Ling Zhou
AI4CE
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Geometrization of deep networks for the interpretability of deep learning systems"
5 / 5 papers shown
Problems of representation of electrocardiograms in convolutional neural networks
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Iana Sereda
Sergey Alekseev
A. Koneva
Alexey Khorkin
Grigory V. Osipov
115
1
0
01 Dec 2020
Self-regularizing restricted Boltzmann machines
Orestis Loukas
102
2
0
09 Dec 2019
Deep network as memory space: complexity, generalization, disentangled representation and interpretability
X. Dong
L. Zhou
92
1
0
12 Jul 2019
Gauge theory and twins paradox of disentangled representations
X. Dong
L. Zhou
DRL
49
1
0
24 Jun 2019
Understanding over-parameterized deep networks by geometrization
Xiao Dong
Ling Zhou
GNN
AI4CE
117
7
0
11 Feb 2019
1
