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# Description
It would be great to have Normalizing Flow MCMC method.
## Paper reference
- [Adaptive Monte Carlo augmented with normalizing flows](https://arxiv.org/abs/2105.12603)
- [Efficient …
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We default to applying adaptive sampling (which ensures an even spread of samples across a a minute) to 10 transactions, while applying non-adaptive sampling to fully 1190 transactions.
What happen…
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DPM adaptive:
` File "/content/gdrive/MyDrive/sd/stablediffusion/src/k-diffusion/k_diffusion/sampling.py", line 496, in sample_dpm_adaptive`
` if sigma_min
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您好,在Hardness Visualization这个实验中,如何从实验结果中能看出存在FPP?还有能详细说说Figure 3: An illustration of adaptive hardness negative sampling?希望您能帮我解答,十分感谢!
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Hessian slow. Adaptive sampling less slow. Maybe root finding? Maybe another algorithm? What cutoff for adaptive sampling (∆lnL=2?)
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Dear support team,
A few months ago I moved from HTMD2 to HTMD3 (finally). However, I was getting surprising and inconsistent results, which made me suspect that something is running differently. T…
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### Describe the feature
The `.reproject_to()` function, a wrapper of the reproject package, can call three different reprojection algorithms. These algorithms are designed with astronomical images…
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#319 introduces `PermutationSampler` but it does not include the possibility of interrupting the sampling within a permutation, as required for TCMS.
One possibility would be to make samplers not …
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I would like to request that configuration of advanced options for Adaptive Sampling be simplified.
The current approach described [here](https://docs.microsoft.com/en-us/azure/azure-monitor/app/…
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Very interesting work, thank you for your contribution to the open source community.
1. In the first two papers, verification is done by probability rejection sampling, but I saw that the implement…