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blog.computationalcomplexity.org | ||
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www.scottaaronson.com
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pressron.wordpress.com
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| | | | | Abstract: Machine and language models of computation differ so greatly in the computational complexity properties of their representation that they form two distinct classes that cannot be directly compared in a meaningful way. While machine models are self-contained, the properties of the language models indicate that they require a computationally powerful collaborator, and are better... | |
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windowsontheory.org
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| | | | | (Also available as a pdf file. Apologies for the many footnotes, feel free to skip them.) Computational problems come in all different types and from all kinds of applications, arising from engineering as well the mathematical, natural, and social sciences, and involving abstractions such as graphs, strings, numbers, and more. The universe of potential algorithms... | |
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www.depthfirstlearning.com
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| | | [AI summary] The user has provided a detailed and complex set of questions and reading materials related to normalizing flows, variational inference, and generative models. The content covers topics such as the use of normalizing flows to enhance variational posteriors, the inference gap, and the implementation of models like NICE and RealNVP. The user is likely seeking guidance on how to approach these questions, possibly for academic or research purposes. | ||
