Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models
10.1109/JSAIT.2020.2980676
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2020
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sg-nus-scholar.10635-1718822024-04-25T06:33:39Z Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models Zhaoqiang Liu Jonathan Scarlett DEPARTMENT OF COMPUTER SCIENCE 10.1109/JSAIT.2020.2980676 1 1 292-303 2020-08-04T02:51:43Z 2020-08-04T02:51:43Z 2020-03 Article Zhaoqiang Liu, Jonathan Scarlett (2020-03). Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models 1 (1) : 292-303. ScholarBank@NUS Repository. https://doi.org/10.1109/JSAIT.2020.2980676 https://scholarbank.nus.edu.sg/handle/10635/171882 CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ IEEE |
| institution |
National University of Singapore |
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NUS Library |
| continent |
Asia |
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Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| description |
10.1109/JSAIT.2020.2980676 |
| author2 |
DEPARTMENT OF COMPUTER SCIENCE |
| author_facet |
DEPARTMENT OF COMPUTER SCIENCE Zhaoqiang Liu Jonathan Scarlett |
| format |
Article |
| author |
Zhaoqiang Liu Jonathan Scarlett |
| spellingShingle |
Zhaoqiang Liu Jonathan Scarlett Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models |
| author_sort |
Zhaoqiang Liu |
| title |
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models |
| title_short |
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models |
| title_full |
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models |
| title_fullStr |
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models |
| title_full_unstemmed |
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models |
| title_sort |
information-theoretic lower bounds for compressive sensing with generative models |
| publisher |
IEEE |
| publishDate |
2020 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/171882 |
| _version_ |
1800914148252450816 |