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Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep
  Image Prior

Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior

8 August 2019
Tatsuya Yokota
H. Hontani
Qibin Zhao
A. Cichocki
ArXivPDFHTML

Papers citing "Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior"

2 / 2 papers shown
Title
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Qiquan Shi
Jiaming Yin
Jiajun Cai
A. Cichocki
Tatsuya Yokota
Lei Chen
Mingxuan Yuan
Jia Zeng
AI4TS
21
87
0
25 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
289
9,167
0
06 Jun 2015
1