Submission to this special issue is by invitation only. Part 1 of this special issue has been published as Volume 7 Volume 7, Supplement Issue 1. --> https://link.springer.com/journal/41884/volumes-and-issue...
In recent years, as the use of data in various research fields has increased exponentially, probability models have been playing an important role in representing or describing the information contained in d...
This collection is associated with the conference Information Geometry for Data Science, IG4DS2022, Hamburg, Germany, September 19-23, 2022. Data, in its many forms and across various disciplines, is becomin...
Deep learning is a subset of machine learning which is quickly developing in recent years both in terms of methodology and practical applications. Deep neural networks (DNNs) are artificial neural network ar...
Jean–Louis Koszul (3 Jan 1921–12 Jan 2018) was a French mathematician with prominent influence on a wide range of mathematical fields. He was a second-generation member of Bourbaki, with several notions in g...
Submission to this special issue is by invitation only. Information geometry has a long history. The work of H. Hotteling (1895–1973), who visited R.A. Fisher (1890–1962) in 1929 and proposed the Riemannian ...
Optimal transport is an interdisciplinary field of mathematics at the intersection of probability, analysis, and geometry. Originally conceived by Monge in 1781 as a problem of finding the most efficient tra...