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what's the relationship between the Conventional Diffusion branch and the Lightning T2I branch? Do they share the same UNet weights but with different sampling algorithms?
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https://github.com/TomographicImaging/CIL/blob/a2e45fe0aafe6329ec9027bda1cf262d4aff0284/Wrappers/Python/cil/optimisation/algorithms/SPDHG.py#L50C44-L50C44
Instead of initialising the probabilities …
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When using a conditional gflownet, we need the LogZ estimate (in algorithms such as TB) to be conditional, i.e., predicted from the state.
This means the `logz` parameter must not be constrained to…
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I did some research on how it can be estimated based on vertical acceleration.
There are two approaches.
One is by plugging acceleration into trochoidal wave model, which allows to calculate dis…
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What is sampling, why do we need different sampling strategies, some examples
Algorithms we should cover with source code-
1. Uniform Random Sampling
2. Snowball Sampling
3. Forest Fire Samp…
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https://arxiv.org/pdf/2401.13125.pdf
https://uq-berlin.slack.com/archives/D0168AT80RY/p1706626173108139
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Consider another frequency tracking filter
such as KalmANF
https://github.com/randyaliased/KalmANF
Based on
R. Ali, T. van Waterschoot, "[A frequency tracker based on a Kalman filter update …
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Based on its contents, https://w3c.github.io/compute-pressure/#rate-limiting-change-notifications seems to have been added before https://w3c.github.io/compute-pressure/#dfn-may-receive-data, as the f…
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The following pages of mine deal with random variate generation, Bernoulli factories, and exact sampling. They contain numerous algorithms for such sampling.
My audience for these articles is **…
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Lots of sampling algorithms return weighted samples. For instance, importance sampling and SMC both return weighted samples*¸ as do elliptical slice sampling and nested sampling algorithms. Currently,…