Dynamical Variational Autoencoders: A Comprehensive Review

ISBN-13: 9781680839128 / Angielski / Miękka / 2021 / 198 str.

Laurent Girin; Simon Leglaive; Xiaoyu Bie

Spis treści

• 1. Introduction
• 2. Variational Autoencoders
• 3. Recurrent Neural Networks and State Space Models
• 4. Definition of Dynamical VAEs
• 5. Deep Kalman Filters
• 6. Kalman Variational Autoencoders
• 7. STOchastic Recurrent Networks
• 8. Variational Recurrent Neural Networks
• 9. Stochastic Recurrent Neural Networks
• 10. Recurrent Variational Autoencoders
• 11. Disentangled Sequential Autoencoders
• 12. Brief tour of other models
• 13. Experiments
• 14. Discussion
• Acknowledgements
• Appendices
• References