Neural Encoding and Decoding with a Flow-based Invertible Generative Model-Reference-Cited by-同舟云学术

Neural Encoding and Decoding with a Flow-based Invertible Generative Model

Published:2022 Issue: Volume: Page:1-1
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Zhou Qiongyi¹,Du Changde¹,Li Dan¹,Wang Haibao¹,Liu Jian K.²,He Huiguang³

Affiliation:

1. Research Center for Brain-inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, and also with the School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.

2. School of Computing, University of Leeds, Leeds LS2 9JT, U.K.

3. Research Center for Brain-inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, also with the School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China, and also with the Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.

Funder

Strategic Priority Research Program of CAS

National Natural Science Foundation of China

CAS International Collaboration Key Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/7422051/09780264.pdf?arnumber=9780264

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