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Generative networks as inverse problems with Scattering transforms

Generative networks as inverse problems with Scattering transforms

17 May 2018
Tomás Angles
S. Mallat
    GAN
ArXiv (abs)PDFHTML

Papers citing "Generative networks as inverse problems with Scattering transforms"

15 / 15 papers shown
Deep Invertible Approximation of Topologically Rich Maps between
  Manifolds
Deep Invertible Approximation of Topologically Rich Maps between Manifolds
Michael Puthawala
Matti Lassas
Ivan Dokmanić
Pekka Pankka
Maarten V. de Hoop
MedIm
257
0
0
02 Oct 2022
Modelling nonlinear dependencies in the latent space of inverse
  scattering
Modelling nonlinear dependencies in the latent space of inverse scattering
Juliusz Ziomek
K. Farrahi
228
0
0
19 Mar 2022
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet
  Scattering Transforms
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering TransformsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
A. Saydjari
D. Finkbeiner
216
24
0
22 Apr 2021
Generative networks as inverse problems with fractional wavelet
  scattering networks
Generative networks as inverse problems with fractional wavelet scattering networks
Jiasong Wu
Jing Zhang
Fuzhi Wu
Youyong Kong
Guanyu Yang
L. Senhadji
H. Shu
GAN
239
1
0
28 Jul 2020
wav2shape: Hearing the Shape of a Drum Machine
wav2shape: Hearing the Shape of a Drum Machine
Han Han
Vincent Lostanlen
128
9
0
20 Jul 2020
Group Equivariant Generative Adversarial Networks
Group Equivariant Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2020
Neel Dey
Antong Chen
S. Ghafurian
GAN
385
35
0
04 May 2020
Deep Learning-Based Solvability of Underdetermined Inverse Problems in
  Medical Imaging
Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
Chang Min Hyun
Seong Hyeon Baek
M. Lee
S. Lee
J.K. Seo
438
38
0
06 Jan 2020
Biologically inspired architectures for sample-efficient deep
  reinforcement learning
Biologically inspired architectures for sample-efficient deep reinforcement learning
Pierre Harvey Richemond
Arinbjorn Kolbeinsson
Wenhan Luo
140
2
0
25 Nov 2019
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep
  Generative Models
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models
P. Gyawali
Rudra Saha
Linwei Wang
V. Veeravasarapu
M. Singh
DiffMDRL
148
0
0
26 Oct 2019
Kymatio: Scattering Transforms in Python
Kymatio: Scattering Transforms in Python
M. Andreux
Tomás Angles
Georgios Exarchakis
R. Leonarduzzi
G. Rochette
...
M. Hirn
Edouard Oyallon
Sixhin Zhang
Carmine-Emanuele Cella
Michael Eickenberg
293
192
0
28 Dec 2018
Geometric Scattering for Graph Data Analysis
Geometric Scattering for Graph Data Analysis
Feng Gao
Guy Wolf
M. Hirn
GNN
294
126
0
07 Oct 2018
Encoding Robust Representation for Graph Generation
Encoding Robust Representation for Graph Generation
Dongmian Zou
Gilad Lerman
GNN
130
0
0
28 Sep 2018
Scattering Networks for Hybrid Representation Learning
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
N. Komodakis
Damien Scieur
Matthew Blaschko
Eugene Belilovsky
230
97
0
17 Sep 2018
Building Bayesian Neural Networks with Blocks: On Structure,
  Interpretability and Uncertainty
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty
Hao Zhou
Yunyang Xiong
Vikas Singh
UQCVBDL
190
4
0
10 Jun 2018
Some Theoretical Properties of GANs
Some Theoretical Properties of GANs
Gérard Biau
B. Cadre
Maxime Sangnier
Ugo Tanielian
GAN
271
60
0
21 Mar 2018
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