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Hello,
I have been looking for a Julia package to perform amortized Bayesian inference on simulation-based models. In many areas of science, there are models with unknown/intractable likelihood fu…
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More scalable cell2fate model including:
- amortized inference
- direct computation of 0.25, 0.5, 0.75 quantiles of the posterior
- corresponding tutorial notebook added to documentation
- unit te…
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This issue occurs when I run the code first time.
Traceback (most recent call last):
File "src/torch_core/vi.py", line 364, in
train_logp = get_log_marginal_density(train_loader)
File "…
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The paper "Likelihood-free parameter estimation with neural Bayes estimators" (Sainsbury-Dale, Zammit-Mangion, & Huser, 2023) enables neural amortized *point* estimation, which is generally faster tha…
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Paper on geometry and metric for comparing distributions (with a focus on GANS): https://arxiv.org/abs/1712.07822
- We could probably find a paper on distribution comparisons more generally if we wan…
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When running BayesFlow to analyze regression models, I get OOM errors after about 50-60 epochs. The simulations need a data set of covariates from which a one-dimensional outcome is simulated. Here ar…
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Hi! Thank you for sharing.
I'm interested in the details of inference time. For streaming applications, the INR should be decoded instantly. The article only shows the data about encoding time. Wou…
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### Description
To collect more data for evaluation of review.
### Additional Information
_No response_
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The new fulfillment context introduced in #30533 could be more efficient in a number of ways in terms of pruning the work it has to do. First, it currently considers obligations to be formed in a tree…