ResearchTrend.AI
The local low-dimensionality of natural images
v1v2v3v4 (latest)

The local low-dimensionality of natural images

Olivier J. Hénaff
Johannes Ballé
Neil C. Rabinowitz
Eero P. Simoncelli
ArXiv (abs)PDFHTML

Papers citing "The local low-dimensionality of natural images"

6 / 6 papers shown
Title
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
T. Yerxa
Yilun Kuang
Eero P. Simoncelli
SueYeon Chung
51
0
0
06 Mar 2023
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Yubei Chen
Zeyu Yun
Yi Ma
Bruno A. Olshausen
Yann LeCun
94
8
0
30 Sep 2022
Do Neural Networks Compress Manifolds Optimally?
Do Neural Networks Compress Manifolds Optimally?
Sourbh Bhadane
Aaron B. Wagner
Johannes Ballé
45
4
0
17 May 2022
The Effects of Image Distribution and Task on Adversarial Robustness
The Effects of Image Distribution and Task on Adversarial Robustness
Owen Kunhardt
Arturo Deza
T. Poggio
42
3
0
21 Feb 2021
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model
Nikhil Parthasarathy
Eero P. Simoncelli
81
7
0
30 Jun 2020
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
83
326
0
18 Nov 2015