3 papers at ISIT 2021

Our group will present the following three papers at this year’s IEEE International Symposium on Information Theory (ISIT).

1. K.-H. Ngo, A. Lancho, G. Durisi, and A. Graell i Amat, "Massive uncoordinated access with random user activity," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Sidney, Australia, Jul. 2021. [.pdf]

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2. A. Rezazadeh, S. T. Jose, G. Durisi, and O. Simeone, Conditional Mutual Information Bound for Meta Generalization Gap, in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Sidney, Australia, Jul. 2021. [.pdf]

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3. F. Hellström and G. Durisi, “Nonvacuous loss bounds with fast rates for neural networks via conditional information measures,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Sidney, Australia, Jul. 2021. [.pdf]