Improved Auto-Encoding Using Deterministic Projected Belief Networks and Compound Activation Functions-Reference-Cited by-同舟云学术

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Improved Auto-Encoding Using Deterministic Projected Belief Networks and Compound Activation Functions

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 31st European Signal Processing Conference (EUSIPCO)
language:
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Author:

Baggenstoss Paul M¹

Affiliation:

1. Fraunhofer FKIE,Wachtberg,Germany,53343

Funder

Office of Naval Research Global

Defense Advanced Research Projects Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10289698/10289713/10290080.pdf?arnumber=10290080

Reference23 articles.

1. Neural spline flows;durkan;Advances in neural information processing systems,2019

2. Cubic-spline flows;durkan;Workshop on Invertible Neural Networks and Normalizing Flows ICML,2019

3. The PDF projection theorem and the class-specific method

4. Survae flows: Surjections to bridge the gap between vaes and flows;nielsen;Advances in neural information processing systems,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

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