- Submission status
- Open
- Submission deadline
- Ongoing
Collections and calls for papers
2024_Special Issue: Half a Century of Information Geometry, Part 2 (invitation only)
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...
- Submission status
- Open
- Submission deadline
- Ongoing
Information Geometry for Algorithms: Learning, Vision, Signal Processing
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...
- Submission status
- Closed
Information Geometry for Data Science
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...
- Submission status
- Closed
Information Geometry for Deep Learning
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...
- Submission status
- Open
- Submission deadline
- Ongoing
Special Issue: Affine differential geometry and Hesse geometry - a tribute and memorial to Jean–Louis Koszul
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 status
- Closed
Special Issue: Half a Century of Information Geometry, Part 1
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 ...
- Submission status
- Closed
Special Issue: Information Geometry and Optimal Transport
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...
- Submission status
- Closed