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2016 ISIT Shannon Lecture
The Classical Capacity of a Quantum Channel
Alexander S. Holevo
Steklov Mathematical Institute
ISIT Plenary LectureShannon Lectures
2010 ISIT Shannon Lecture
Musing upon Information Theory
Professor Te Sun Han
NICT
Shannon Lectures
2010 ISIT Plenary Lecture
The Audacity of Throughput - A Trilogy of Rates
Professor Anthony Ephremides
University of Maryland, College Park
ISIT Plenary Lecture
2010 ISIT Plenary Lecture
Completely Random Measures for Bayesian Nonparametrics
Professor Michael I. Jordan
University of California, Berkeley
ISIT Plenary Lecture
2010 ISIT Plenary Lecture
Coding for Noisy Networks
Professor Abbas El Gamal
Stanford University
ISIT Plenary Lecture
Information Theory Society presents a brief history of internet communication and packet switched networks leading to the idea of network coding.…
Network Coding
2016 ISIT Plenary Talk
The SAT-UNSAT Transition for Random Satisfiability Problems in the Case of Continuous Variables
Giorgio Parisi
University of…
ISIT Plenary Lecture
2016 ISIT Plenary Talk
The Laplacian Matrices of Graphs
Daniel A. Spielman
Yale University
ISIT Plenary Lecture
2016 ISIT Plenary Talk
Codes, Metrics, and Applications
Alexander Barg
University of Maryland
2016 ISIT Plenary Talk
From 3T to 5G: Theory and Practice of Cooperation in Wireless Networks
Elza Erkip
New York University
ISIT Plenary Lecture
What motivated the concept of Markov chains & Markov models? Featuring Plato's theory of forms, Jacob Bernoulli's weak law of large numbers and…
Information Theory Society presents how the Lempel-Ziv lossless compression algorithm works. It was published in 1978 and improved by Welch in 1984…
Source CodingCoding
2011 Shannon Lecture
From Constrained Signaling to Network Interference Alignment via an Information-Estimation Perspective
Shlomo Shamai (Shitz)…
Shannon Lectures
Morse Code Simulator: https://www.khanacademy.org/math/appl...
How can we quantify/measure an information source? We introduce the ideas of Nyquist & Hartley using a simple game involving yes/no questions. It…
Claude Shannon demonstrated how to generate "english looking" text using Markov chains and how this gives a satisfactory representation of the…
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
EstimationHypothesis TestingDistributed SystemsSecrecy
2008 Shannon Lecture
Source Coding and Simulation
Professor Robert M. Gray
Stanford University
Shannon LecturesISIT Plenary Lecture
2014 Shannon Lecture: On The Mathematics of Distinguishable Difference.
By János Körner, "Sapienza" University of Rome
Shannon Lectures
Information Theory Society presents the key concepts needed to understand low-density parity-check codes (LDPC codes). It's a blend of repetition…
LDPC CodesCoding
The IEEE Information Theory Society presents an overview of Adi Shamir's 1979 paper on secret sharing. This is part of our series on the greatest…
Secrecy
The key insights behind content and collaborative filtering (Matrix Factorization). How Amazon, Netflix, Facebook and others predict what you will…
Recommender SystemsApplications
2007 Shannon Lecture
Teaching IT
Sergio Verdu
Princeton University
Shannon AwardShannon LecturesISIT Plenary Lecture
2018 ISIT Plenary Talk -- Vail, CO
Guidance from Information Theory – an engineering perspective
Gottfried Ungerboeck
ISIT Plenary LectureShannon Lectures
2009 ISIT Shannon Lecture
Optimal Estimation
Professor Jorma Rissanen
University of Tampere
ISIT Plenary LectureShannon Lectures
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
EstimationHypothesis TestingDistributed SystemsSecrecy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Data sharingPrivacy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Random WalkHigh dimensional expander Hypergraphs
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
ISIT 2021, Melbourne, Victoria, AustraliaShannon Lecture
ISIT Plenary LecturePlenary LectureShannon Lectures
IEEE ISIT 2020, Los Angeles (Virtual)
Shannon Lecture
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Shannon LecturesQuantum Information Theory
2013 ISIT Shannon Lecture
Distance-Divergence Inequalities
Katalin Marton
Alfréd Rényi Institute of Mathematics, Hungarian Academy of Sciences
ISIT Plenary LectureShannon Lectures
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Data sharingPrivacy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
EstimationHypothesis TestingDistributed SystemsSecrecy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Mutual information Machines learning Estimation
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Data sharingPrivacy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Mutual information Machines learning Estimation
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Mutual information Machines learning Estimation
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Random WalkHigh dimensional expander Hypergraphs
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Random WalkHigh dimensional expander Hypergraphs