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I know that one of the main benefits of a BNN is the ability to gauge the confidence of a prediction. I understand why this can be important for various applications but i am more concerned about the …
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This issue is to document our overal goals, ideas, and related publications. I'll keep the top of the issue as a clean summarry of the discussion in this thread.
## Goal of the Hackathon
Our goa…
EiffL updated
2 years ago
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### Issue Description
The class HiddenLayer is missing attributes '_batch_shape' and '_event_shape'.
I provide a very simple code snippet to reproduce the error for '_batch_shape', but I've got the…
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https://doi.org/10.1101/104869
> Advancements in sequencing technologies have highlighted the role of alternative splicing (AS) in increasing transcriptome complexity. This role of AS, combined wit…
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Please add a global filter in the settings to filter out all pictures with 'cat' in the caption or description!
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Hi, I have read your paper and code. In file Dropout_Bald_Q10_N1000_Paper.py, it seems that your model is a CNN in Keras, but in your paper, the model is a BCNN with prior probability distributions pl…
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Can someone tell me why we optimize NELBO? In the paper it only said "We optimize the ELBO with respect to the variational parameters." As far as I understand it D-ETM consists of three neural network…
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This outlines a roadmap for basic statistical functionality that Julia needs to offer. It is heavily drawn from the table of contents for MASS.
- [ ] Data processing [DataFrames.jl](https://github.com…
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Here is the simplest example.
```python3
fc1 = BayesianLinear(1, 1)
print(list(fc1.parameters()))
pytorch_total_params = sum(p.numel() for p in fc1.parameters() if p.requires_grad)
```
The outpu…
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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…