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Giuseppe Durisi

Giuseppe Durisi, Professor, Chalmers University of Technology, information theory, communication theory, machine learning, AI



title: “Generalization Bounds via Information Density and Conditional Information Density” date: 2020-12-03 read_time: false classes: wide excerpt: “A gen...

Invited presentation at PIMRC

Finite-blocklength information theory is an indispensable toolbox for the design of short-packet communication systems. In an invited presentation at this ye...

To appear in Trans. Inf. Theory

W. Yang, A. Collins, G. Durisi, Y. Polyanskiy, and H. V. Poor, “Beta-beta bounds: Finite-blocklength analog of the golden formula,” IEEE Tran. Inf. Theory, 2...

Paper at ISIT 2018

R. Devassy, G. Durisi, G. C. Ferrante, O. Simeone, and E. Uysal-Biyikoglu, “Delay and peak-age violation probability in short-packet transmission,” in Proc. ...

Welcome to my new blog!

Welcome to my new website–now hosted by github. I decided also to start a blog to help me summarizing regularly what I have been learning. This is the first ...