Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...

In Part One of this series, we saw that culture doesn't suffer from the problem that Darwin's theory of natural selection successfully solved: the problem of how change accumulates in biological ...

PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers who need a little more versatility, there’s uv. Find these tools and more ...

This is a fast negative-binomial distribution for Python and C++, optimised for small repeated integer counts such as those seen in single-cell RNA sequencing data, and including zero inflation.

Abstract: This paper addresses the problem of designing nonlinear discrete-time dynamical systems for prospective use in low-complexity random signal generators. Drawing upon ergodic systems theory, ...

Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...

In the field of statistics and probability, marginal distribution plays a critical role in understanding the behavior of variables. It is a method used to determine the probability distribution of a ...

Calculating the likelihood is a fundamental aspect of statistics and probability theory. It allows us to measure how probable a given set of data is, assuming a specific model or hypothesis.