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Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data

Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data

F. Tonolini
Pablo G. Moreno
Andreas C. Damianou
Roderick Murray-Smith
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Papers citing "Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data"

6 / 6 papers shown
Title
Noise2Void - Learning Denoising from Single Noisy Images
Noise2Void - Learning Denoising from Single Noisy Images
Alexander Krull
T. Buchholz
Florian Jug
56
1,095
0
27 Nov 2018
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Chao Ma
Sebastian Tschiatschek
Konstantina Palla
José Miguel Hernández-Lobato
Sebastian Nowozin
Cheng Zhang
35
128
0
28 Sep 2018
Conditional Neural Processes
Conditional Neural Processes
M. Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
D. Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
UQCV
BDL
31
688
0
04 Jul 2018
Disentangled VAE Representations for Multi-Aspect and Missing Data
Disentangled VAE Representations for Multi-Aspect and Missing Data
Samuel K. Ainsworth
N. Foti
E. Fox
DRL
44
15
0
24 Jun 2018
GAIN: Missing Data Imputation using Generative Adversarial Nets
GAIN: Missing Data Imputation using Generative Adversarial Nets
Jinsung Yoon
James Jordon
M. Schaar
GAN
12
1,001
0
07 Jun 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
27
8,807
0
25 Aug 2017

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