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BCR-Net: a neural network based on the nonstandard wavelet form

BCR-Net: a neural network based on the nonstandard wavelet form

20 October 2018
Yuwei Fan
Cindy Orozco Bohorquez
Lexing Ying
ArXiv (abs)PDFHTML

Papers citing "BCR-Net: a neural network based on the nonstandard wavelet form"

16 / 16 papers shown
Title
Deep Multiscale Model Learning
Deep Multiscale Model Learning
Yating Wang
Siu Wun Cheung
Eric T. Chung
Y. Efendiev
Min Wang
AI4CE
73
82
0
13 Jun 2018
Butterfly-Net: Optimal Function Representation Based on Convolutional
  Neural Networks
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks
Yingzhou Li
Xiuyuan Cheng
Jianfeng Lu
52
23
0
18 May 2018
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
135
3,167
0
29 Nov 2017
A unified deep artificial neural network approach to partial
  differential equations in complex geometries
A unified deep artificial neural network approach to partial differential equations in complex geometries
Jens Berg
K. Nystrom
AI4CE
70
586
0
17 Nov 2017
Expressive power of recurrent neural networks
Expressive power of recurrent neural networks
Valentin Khrulkov
Alexander Novikov
Ivan Oseledets
104
114
0
02 Nov 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial
  Differential Equations
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations
M. Raissi
George Karniadakis
AI4CEPINN
82
1,143
0
02 Aug 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
710
10,826
0
19 Feb 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
273
18,284
0
02 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
435
18,361
0
27 May 2016
Learning Functions: When Is Deep Better Than Shallow
Learning Functions: When Is Deep Better Than Shallow
H. Mhaskar
Q. Liao
T. Poggio
89
144
0
03 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,846
0
02 Nov 2015
On the Expressive Power of Deep Learning: A Tensor Analysis
On the Expressive Power of Deep Learning: A Tensor Analysis
Nadav Cohen
Or Sharir
Amnon Shashua
81
472
0
16 Sep 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,520
0
18 May 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
450
20,606
0
10 Sep 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
250
16,405
0
30 Apr 2014
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