Virtual participation to the conference will be guaranteed for safety reasons related to the COVID pandemic.
2020 IEEE Information Theory Workshop (ITW)
(postponed to) 11-15 April 2021, Riva del Garda (TN), Italy
The IEEE Information Theory Workshop, a flagship conference of the IEEE Information Theory Society, is a forum for technical exchange among scientists and engineers working on the several aspects of information theory. Every edition emphasizes a number of related topics that information theory impacts. Original contributions are solicited in all areas of coding and information theory, as well as in the interface between Information Theory and the following topics:
• Statistics, Learning, and Deep Neural Networks
• Quantum Computing and Coding
• Coding for Computation and Learning
• Queuing Theory
• Blockchain and Cryptocurrencies
• Computational and Synthetic Biology
Originally planned for September 2020, the conference has been postponed to April 2021.
Prospective authors are invited to submit original technical papers for presentation and publication. Accepted and presented technical papers will be published in the IEEE ITW 2020 Conference Proceedings and submitted to IEEE Xplore. All papers should be submitted via EDAS. Submitted manuscripts should provide sufficient details of the research allowing reviewers to assess the originality and authenticity of the work. If full proof cannot be accommodated within the limit of 5 pages, the authors can publicize the supplementary material which can be openly accessed, and provide the specific reference.
Paper submission: 30 September 2020
Author notification: 30 November 2020
The organizing team is closely monitoring the development of the COVID-19 situation. Virtual participation to the conference will be guaranteed for safety reasons related to the COVID pandemic.
Marco Dalai, University of Brescia, Italy
Enrico Paolini, University of Bologna, Italy
Nicolò Cesa-Bianchi, University of Milan, Italy
Olgica Milenkovic, University of Illinois at Urbana-Champaign, USA
Alon Orlitsky, University of California at San Diego, USA