Arezou Rezazadeh

Post doc at Communication Systems

Arezou works in the research group Communication systems, at the division Communication, Antennas, and Optical networks. Her research focuses on finite-length information theory. Arezou is also involved in a project related to the development of a theory able to explain the astounding performance of deep neural networks.

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Showing 2 publications


Conditional Mutual Information-Based Generalization Bound for Meta Learning

Arezou Rezazadeh
IEEE International Symposium on Information Theory - Proceedings
Paper in proceeding

Multi-class cost-constrained random coding for correlated sources over the multiple-access channel

Arezou Rezazadeh, Josep Font-Segura, Alfonso Martinez et al
Entropy. Vol. 23 (5)
Journal article

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