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# Living review for likelihood-free inference
It would be cool to have a "living review" paper for likelihood-free methods, that is kept up to date (updated say once a year or so with new methods/d…
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[Rezende and Mohamed 2015](https://arxiv.org/abs/1505.05770) is a classic paper on using normalizing flows, rather than e.g. mean-field approximations, for variational inference. Normalizing flows are…
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The nexsons include a property called `^ot:curatedType`. In the UI, this is called 'Inference method'. It is currently a pulldown that provides various inference options (Bayesian inference, Maximum L…
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@AlexCheema
I am developing AI for medical applications. In order to use AI, especially LLMs and VLMs (including MMLLMs), in clinical settings, the following are extremely important:
- Fast and r…
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In your opinion would it be possible to use SAM2 to segment a 2 hour video (720p, 60fps) with a 4090 GPU, avoiding of course the errors due to lack of memory?
What could be the best strategy to succ…
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@rsullivan-lord I tried over the week to use the PyMC3 package for regular MCMC, but I had a hard time getting it to work. So I'm back to using ABC instead. Good thing is that I found [pyABC](https://…
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In the presence of `ref` and `deref`, compound procedures effectively already can return multiple values that can be constrained independently. However, it is not at all clear how to extend this capa…
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Same as #245 but for the reconstructors. My suspicion is that most of these don't have easily comparable reference implementations, so those can be checked off fairly quickly. The implementers of each…
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This is intended as a discussion issue where we can hash out an initial design for the package. The goal is to
1. tie down the structure of the package, including how the internals should be design…
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Trying to infer the latent probability of a grammar implemented with a `tf.while_loop()` always returns the prior. This happens with HMC, MetropolisHastings and KLqp.
I include below some example …
fiiiu updated
7 years ago