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Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep
  Image Prior
v1v2 (latest)

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

8 August 2019
Tatsuya Yokota
H. Hontani
Qibin Zhao
A. Cichocki
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Convex Regularization Behind Neural Reconstruction
Convex Regularization Behind Neural ReconstructionInternational Conference on Learning Representations (ICLR), 2020
Arda Sahiner
Morteza Mardani
Batu Mehmet Ozturkler
Mert Pilanci
John M. Pauly
271
25
0
09 Dec 2020
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of
  AI/AGI Using Multiple Intelligences and Learning Styles
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles
A. Cichocki
Alexander P. Kuleshov
301
0
0
07 Aug 2020
Generative Patch Priors for Practical Compressive Image Recovery
Generative Patch Priors for Practical Compressive Image Recovery
Rushil Anirudh
Suhas Lohit
Pavan Turaga
GAN
329
4
0
18 Jun 2020
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Block Hankel Tensor ARIMA for Multiple Short Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2020
Qiquan Shi
Jiaming Yin
Jiajun Cai
A. Cichocki
Tatsuya Yokota
Lei Chen
Mingxuan Yuan
Jia Zeng
AI4TS
250
112
0
25 Feb 2020
1
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