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IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
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ISIT Plenary LecturePlenary LectureMachine LearningCoding Theory
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
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ISIT Plenary LecturePlenary LectureOptimization
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
2014 Shannon Lecture: On The Mathematics of Distinguishable Difference.
By János Körner, "Sapienza" University of Rome
Shannon Lectures
2011 Shannon Lecture
From Constrained Signaling to Network Interference Alignment via an Information-Estimation Perspective
Shlomo Shamai (Shitz)…
Shannon Lectures
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
IEEE ISIT 2020, Los Angeles (Virtual)
Shannon Lecture
Video image begins at 0:31
Shannon LecturesQuantum Information Theory
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
Video image begins at 0:30
ISIT Plenary LecturePlenary LectureInformation Theory in Biology
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
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
Video image begins at 0:15
ISIT Plenary LecturePlenary Lecture
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Mutual information Machines learning Estimation