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planning.md

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@@ -6,9 +6,9 @@ The outcome of our __Implicit Reparametrization Trick__ project is an extension
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## Scope
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We plan to implement the following distributions in our library:
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- Gaussian normal distribution (*)
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- Dirichlet distribution (Beta distributions)
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- Dirichlet distribution (Beta distributions)(\*)
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- Sampling from a mixture of distributions
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- Sampling from the Student's t-distribution (**)
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- Sampling from the Student's t-distribution (**) (\*)
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- Sampling from an arbitrary factorized distribution (***)
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(\*) - this distribution is already implemented in torch using the explicit reparameterization trick, we will implement it for comparison

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