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## DoD
- [ ] Demo 1 of using gradient-based samplers to draw samples from a truncated normal distribution
- [ ] Demo 2 of using gradient-based samplers to solve the simplest BIP problem with a tru…
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MWE:
```julia
julia> import FiniteDifferences, Enzyme; using Distributions
julia> func = (a, b, x) -> logpdf(truncated(Normal(), a, b), x)
#29 (generic function with 1 method)
julia> args = (-0.3, 0…
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### System information
- WSL 2 on Windows
- Flax 0.8.4, JAX 0.4.30
- Python 3.10
- RTX 2080
- CUDA 12.3
Both `nn.initializers.truncated_normal` and `jax.nn.initializers.truncated_normal` aren'…
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## 🚀 Feature
Implement truncated normal distribution.
## Motivation
A truncated normal distribution is useful as initializer of weights or when sampling from ReLU potentials. This has been re…
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More of a question than an issue (I hope that is okay). How do I implement a truncated normal distribution in Hydenet? I understand that I have to use “floor” from base R but I can not work out how to…
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I am interested in implementing the `quantile()` method for `MvNormal`, as I need to be able to compute the quantiles of `MvNormal` (so that I can ultimately implement a truncated multivariate normal …
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Hey,
So, I got stuck while running the [Fit RV and Proper Motion Anomaly](https://sefffal.github.io/Octofitter.jl/dev/rv/#fit-rv-pma) notebook.
After defining the planet b and a system like thi…
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As requested in https://github.com/scipy/scipy/issues/5888 (which is how I learned about paramnormal, btw).
Again, I'm only a messenger here, the actual request was made by @mountaindust.
Finally, p…
ev-br updated
8 years ago
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I recently found myself wanting a truncated normal distribution (e.g. a univariate normal which has parameters for specifying minimum and/or maximum values).
Is this a sufficiently common need to …