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2013 ISIT Plenary Lecture
Lossless Source Coding Algorithms
Frans M.J. Willems
Eindhoven University of Technology
ISIT Plenary LectureSource Coding
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
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
Video image begins at 0:30
ISIT Plenary LecturePlenary LectureInformation Theory in Biology
Winner of the ISIT 2020 Student Video Contest
Students: Jeongmin Chae and Minoh Jeong
Coding TheoryChannel Coding
The key insights behind content and collaborative filtering (Matrix Factorization). How Amazon, Netflix, Facebook and others predict what you will…
Recommender SystemsApplications
IEEE ITW 2020, Riva del Garda, Italy
Tutorial
Deep LearningDistributed LearningTutorial
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
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
Ayfer Özgür's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Distributed Learning
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
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