tensorflow / tensorflow/probability
implicit reparametrization for bivariate distribution
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Description
Thanks for this work, and such good paper !
I got a question, would this approach work for bivariate distribution, such as the Normal-Gamma distribution ?
Let's get an exemple where the VAE prior is no longer gaussian but normal with gamma variance ?
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Research direction
The issue names no files, tests, or entry points. Start by reviewing the implicit reparameterization approach and its VAE prior assumptions, then assess whether they cover a bivariate Normal-Gamma distribution; done should be a clear feasibility answer or a scoped implementation plan.
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Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100