havakv / havakv/deep_learning_reading_group
#7: Deep Kalman Filters
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Description
Need a background on variational autoencoders.
Suggestions:
- Black box variational inference for state space models (http://arxiv.org/abs/1511.07367).
- Possibly a better explanation.
- Stochastic Backpropagation and Approximate Inference in Deep Generative Models (https://arxiv.org/abs/1401.4082).
- A lot of the Kalman paper is based on this.
- Tutorial on Variational Autoencoders (https://arxiv.org/abs/1606.05908).
- Just a nice introduction to variational autoencoders.
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