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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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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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Add the GAN from ["Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis"](https://ieeexplore.ieee.org/abstract/document/9770375) (official code available in this [link](https://gi…
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For things like blendshapes or bone position manipulation, it's way too heavyweight to rebuild the pipeline on every change. As such, we should exclude these from automatic rebuilds. However, for thin…
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This is likely a note for reference of performance evaluation: amortized cost can be significantly smaller than the non-amortized cost for the function-independent phase.
**Example:** If parties ar…
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In some cases, a pure amortized data structure may only be efficient when used in a single threaded fashion. This suggests a linear interface
```haskell
-- Pairing heaps
data PQ a = ...
insert…
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I am quite confused about the introduction about the Amortized Polynomial Commitments when reading the Halo paper in section 3.1. What's is the concrete algorithm about the polynomial commitments, the…
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After a lot of discussion with Aljoscha last week I have decided to implement the willow store roughly as proposed in https://github.com/AljoschaMeyer/kv_3d_storage
TLDR: this has the upside that i…
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