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I recently found myself wanting a truncated normal distribution (e.g. a univariate normal which has parameters for specifying minimum and/or maximum values).
Is this a sufficiently common need to …
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examples:
- https://arxiv.org/pdf/1705.05018.pdf
- https://arxiv.org/pdf/1702.07735.pdf
## Intro
1. What is the problem? ideally, mentioning some recent paper that this paper uses as a start…
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Make a cheap model of water placement (Monte Carlo?). This could build off of a routine in openmm that places water and removes them if they are too close (a type of rejection sampling).
https://gi…
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[Why should I trust you?: Explaining the predictions of any classifier](https://arxiv.org/abs/1602.04938)
Despite widespread adoption, machine learning models re- main mostly black boxes. Understandi…
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The `logpdf` function of `Wishart` computes the Cholesky factorization of the input, while its `rand` function constructs a Cholesky factor before computing the full matrix, so, like `LKJCholesky`, it…
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This was raised on September 10th 2020 in the MEGA65 youtube channel in the comments of a video ( https://www.youtube.com/watch?v=NJbSPwVOPhE ), that it would be interesting for developers and sound d…
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@happynear Admire your genius !
It seems that you are very experienced in face identification/verification problems.
My problem is that: **how to finetune those excellent models on card-face dataset…
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Hey,
One of the reasons I'm interested in this library is because I want to play around with some machine listening ideas. To do some of these things I think It'll be necessary to run the samples thr…
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When implementing the parallel Bayesian optimization method, I'm not sure if adding independent slice sampling is needed or not.
The original paper [Snoek et al., 2012] demonstrates the advantage o…
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On a test (4x1x1 supercell of silicon), our prod(fft_size) is about 25% higher than abinit's. Abinit uses a more clever iterative algorithm (see `getng` function)