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How to use symforce to generate marginalization prior factors?
In ther words, how to use symforce to add marginalization factors to the optimizer?
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## Description
I have been trying to use ISAM2's marginalizeLeaves function and encountered a few issues, particularly on larger problems. I've tracked the issues down as best I can and I believe t…
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This is part of #340.
We have a Laplace approximation, but we only want to use it on a subset of variables (the latent field). We want to use some other inference method on the other variables (hyp…
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I am running the code from example 01_train_pc.py to learn a HCLT on MNIST dataset. The only thing I have added is a marginal query after the parameter learning. All the code functions properly until …
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Plots for categorical features show only points, not lines. This is a good default. However, for ordered categoricals (or to stress that a set of points belongs together), it would be nice to show opt…
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Marginalizing over extrinsic parameters should alleviate our computational load, but more important it should smooth out the likelihood surface so HMC will have a better time traversing the likelihood…
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Hi Jacob,
Thanks for all your help so far - I was able to generate negatives for my ATAC-seq data using bpnet, and then ran the following successfully:
chrombpnet fit -p JSON
chrombpnet…
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Hi, Dongyuan! I have a question about generating scRNA-seq data using gaussian family.
When I generate scRNA-seq data with gaussian family like the code below
```
example_data
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As part of https://github.com/elastic/elasticsearch-py/issues/2620 , elasticsearch store mmr search allows query or query_embeddings optionally. It would be nice to have it in https://github.com/langc…