Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
Abstract: Inferring the causal structure of a set of random variables from a finite sample of the joint distribution is an important problem in science. The case of two random variables is ...
Abstract: It is well known that the entropy H(X) of a discrete random variable X is always greater than or equal to the entropy H(f(X)) of a function f of X, with equality if and only if f is ...
1 School of Computer Science and Technology, Changsha University of Science and Technology, Changsha, China 2 School of Information Engineering, Changsha Medical University, Changsha, China With the ...
A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...
Introduction Like many countries, England has a national shortage of registered nurses. Employers strive to retain existing staff, to ease supply pressures. Disproportionate numbers of nurses leave ...
In this paper we analyse and improve integer discrete flows for lossless compression. Integer discrete flows are a recently proposed class of models that learn invertible transformations for ...
1 Computational Genomics Division, National Institute of Genomic Medicine, Arenal Tepepan, Mexico 2 Centro de Ciencias de La Complejidad, Universidad Nacional Autónoma de México, Coyoacán, Mexico A ...
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