2020 IEEE International Symposium
on Information Theory

Technical Program

S.1: Capacity Computation
Session Type: Lecture
Track: Shannon Theory
Virtual Session: View on Virtual Platform
Session Chair: Tobias Koch, Universidad Carlos III de Madrid

S.1.1: Computable Lower Bounds for Capacities of Input-Driven Finite-State Channels
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V. Arvind Rameshwar; Indian Institute of Science
Navin Kashyap; Indian Institute of Science

S.1.2: On the Algorithmic Computability of Achievability and Converse: ϵ-Capacity of Compound Channels and Asymptotic Bounds of Error-Correcting Codes
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Holger Boche; Technische Universität München
Rafael F. Schaefer; Technische Universität Berlin
H. Vincent Poor; Princeton University

S.1.3: Capacity of Continuous Channels with Memory via Directed Information Neural Estimator
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Ziv Aharoni; Ben-Gurion University of the Negev
Dor Tsur; Ben-Gurion University of the Negev
Ziv Goldfeld; Cornell University
Haim Henry Permuter; Ben-Gurion University of the Negev

S.1.4: Computability of the Zero-Error capacity with Kolmogorov Oracle
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Holger Boche; Technische Universität München
Christian Deppe; Technische Universität München

Plan Ahead

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia