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Hi, would it be possible to use the code for anomaly detection ? I'm interested in applying the conditional normalizing flows model for this in the framework of detecting gravitational waves and compa…
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Dear authors,
Thank you for making the code available. I am interested in semi-supervised normalizing flows and trying to reproduce the results. I couldn't find the code to generate new samples fr…
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> [!NOTE]
> If you have a request to support a specific method, or would like to see priority of one of the listed methods, please open a separate issue, so it won't get buried in this thread. Base…
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[ICML 2023 Workshop SPIGM homepage](https://openreview.net/group?id=ICML.cc/2023/Workshop/SPIGM)
```bib
@inproceedings{
wang-henderson2023graph,
title={Graph Neural Network Powered Bayesian Opt…
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this gives NaN after a few epochs:
```
pdf = jammy_flows.pdf("e1+s2", "ggg+v", conditional_input_dim=4, hidden_mlp_dims_sub_pdfs="64-128-64")
```
```
-------------------------------------------…
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maho3 updated
1 month ago
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Hello,
I am interested in performing posterior interference with various simulation models, such as agent based models. I was wondering whether that is possible with your package. One example in P…
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Hello :wave: As the development of Pyro's normalizing flow API has stopped for quite some time, I have been discussing with @fritzo about recommending an external normalizing flow library that would b…
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Now we have a forward model $f(\vec{\theta})$ (an NN emulator) which could return the SED of given physical parameters. Then we need to build a neural density estimator to describe the $P(\vec{\theta}…