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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
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
Meet the Shannon Lecturer -- An Interview to Alon Orlitsky.
By Student and Outreach Subcommittee
OutreachShannon AwardInterview
IEEE ISIT 2020, Los Angeles (Virtual)
Tutorial Lecture
Video image begins at 0:30
TutorialCoded Computing
Winner of the ISIT 2021 Student Video Contest
Students: Yuxin Liu and Sarah Bahanshalhttps://2021.ieee-isit.org/Challenge.asp
LDPC CodesPolar Codes
Laurent Schmalen's short lecture at the 2020 European School of Information Theory Stuttgart, Germany
LDPC 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
Coding TheoryLocally-testable codesLocally-decodable codes
IEEE ITW 2021, Virtually from Kanazawa, Japan
Tutorial Lecture
Private Information RetrievalSecrecyCoded Computing
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
Coding TheoryLocally-testable codesLocally-decodable codes
The 2017 IEEE International Symposium on Information Theory was held in Aachen, Germany from June 25 through June 30, 2017.
Interview
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
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