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Long time no see, @yejimun . How have you been?
I have a question about your project. As you know, a Variational Autoencoder (VAE) typically uses a reconstruction loss, which can either be Mean Squ…
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Add a distribution node type for this compound distribution, where the observed variable *y* can only take value 1 if a latent bernoulli variable *z* takes value 1, else it must take 0, i.e.:
*y_i …
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### Row-wise random sampling
Suppose `lf` is a `pl.LazyFrame`, then one popular transformation on the lazy frame is to select rows with some preset probability parametrized by a bernoulli distribut…
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## Background
The current implementation has a probability limit of `1 / (2^32-1)` for the integer constructor and a limit of `1 / (2^64)` for the f64 constructor. Assuming a couple nanoseconds per…
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Hi, I tried to insert a large document into the graphrag so I set gpt-4o-mini as the best_model_func:
```
graph_func = GraphRAG(working_dir="./test", best_model_func=gpt_4o_mini_complete)
```
.The…
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Continuous Bernoulli distribution can help the researchers transferring the discrete states to the continuous states in artificial intelligence and achieving accurate computations and predictions.
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## Long rambling introduction
Distributions.jl currently allows many weird edge-cases which result in Dirac-type degenerate point mass distributions.
There are numerous bugs related to many of t…
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Dear authors,
I wonder how the test-time sampling from Bernoulli (as reported in *Explanation Generation* section, page 11751) is actually implemented.
Checking the code ([here](https://github.com…
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OK, this issue is fairly complicated. To start, I noticed that at some point in the package history the `drift_sigma` values for Gaussian were set to `sqrt(diagonal(Q))`. When they were originally (or…