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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
The key insights behind content and collaborative filtering (Matrix Factorization). How Amazon, Netflix, Facebook and others predict what you will…
Recommender SystemsApplications
IEEE ITW 2021, Virtually from Kanazawa, Japan
Tutorial Lecture
CryptographyCoding Theory
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
Winner of the ISIT 2021 Student Video Contest
Students: Yuxin Liu and Sarah Bahanshalhttps://2021.ieee-isit.org/Challenge.asp
LDPC CodesPolar Codes
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society. In Chapter 3, Alice and…
Information in Small BitsOutreach
Laurent Schmalen's short lecture at the 2020 European School of Information Theory Stuttgart, Germany
LDPC Codes
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
ISIT 2021, Melbourne, Victoria, AustraliaPlenary Lecture
ISIT Plenary LecturePlenary LectureBroadcast Channels
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
Information theoryCoding TheoryFinite blocklength
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