Sc-Vae: Sparse Coding-Based Variational Autoencoder with Learned Ista

Author:

Xiao Pan,Qiu Peijie,Ha Sung Min,Bani Abdalla,Zhou Shuang,Sotiras Aristeidis

Publisher

Elsevier BV

Reference43 articles.

1. Auto-encoding variational bayes;D P Kingma;Int. Conf. on Learning Representations,2013

2. beta-vae: Learning basic visual concepts with a constrained variational framework;I Higgins;International conference on learning representations,2017

3. Reparameterizing and dynamically quantizing image features for image generation;M Sun;Pattern Recognition,2024

4. Multi-object representation learning with iterative variational inference;K Greff;International Conference on Machine Learning,2019

5. A topic modeling and image classification framework: The generalized dirichlet variational autoencoder;A O Ojo;Pattern Recognition,2024

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