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Implement differentiable coverage probability regularizer #14

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macio232 opened this issue Dec 28, 2023 · 1 comment · May be fixed by #15
Open

Implement differentiable coverage probability regularizer #14

macio232 opened this issue Dec 28, 2023 · 1 comment · May be fixed by #15
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enhancement New feature or request

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@macio232
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Description

The method described in Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability paper.

Implementation

New loss class in the inference module, similar to the NRELoss ->BNRELoss enhancement.

Two separate classes, one for NRE, and one for NPE.

Alternatives

I did not consider alternatives.
@macio232 macio232 added the enhancement New feature or request label Dec 28, 2023
@macio232 macio232 linked a pull request Dec 28, 2023 that will close this issue
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@francois-rozet
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Hello @macio232 thanks for the feature request! I'll take a look at the PR soon!

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Add differentiable coverage probability regularizer macio232/lampe
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@macio232 @francois-rozet