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I want to build a flow model which I can save the trained model.
```
flow = tfd.TransformedDistribution(
...
distribution=tfd.Normal(loc=0.0, scale=1.0),
bijector=my_bijectors
)
…
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- Abstract (2-3 lines)
Simulation-based inference is a technique that uses normalizing flows, GANs, and variational inference to perform likelihood-free Bayesian machine learning. SBI has applicat…
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Had a brief discussion with @williamjameshandley offline about using normalizing flows (NFs) as Neural Density Estimators (NDEs) instead of KDEs for production-grade anesthetic plots. I've been doing …
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maho3 updated
2 weeks ago
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Using 0.90-0-g0481e45, 5.2.6 on DV from Media Temple.
When saving a new flow, we get error message "An unknown error occurred. Please contact your OpenVBX provider. Unable to complete request."
Has…
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@Justinezgh here are some examples I have lying around of building a nomalizing flow in jax, and training it on the two moons distribution:
- [1] full implementation of a NF in JAX+flax but it is …
EiffL updated
2 years ago
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Browse through this paper and the video.
https://jeffli.site/res-loglikelihood-regression/
I stuck with this issue last week after reading your report on how to incorporate the robust loss.
Fo…
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https://papers.nips.cc/paper/2018/hash/69386f6bb1dfed68692a24c8686939b9-Abstract.html
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Hi,
I have some questions about the code(code for "Randomized Value Functions via Multiplicative Normalizing Flows" paper). I want to use this code for my environment and I can run it for my enviro…
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I am working on a project where I sample a set of n-dimensional points from a Gaussian distribution (of learnt parameters) as follows and then evaluate those points based on a loss function to update …