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The 2017 IEEE International Symposium on Information Theory was held in Aachen, Germany from June 25 through June 30, 2017.
Interview
IEEE ITW 2021, Virtually from Kanazawa, Japan
Tutorial Lecture
Storage
IEEE ITW 2021, Virtually from Kanazawa, Japan
Plenary Lecture
Machine LearningSignal ProcessingDeep Learning
IEEE ITW 2021, Virtually from Kanazawa, Japan
Tutorial Lecture
CryptographyCoding Theory
IEEE ITW 2021, Virtually from Kanazawa, Japan
Plenary Lecture
Coding TheoryDistributed Systems
IEEE ITW 2021, Virtually from Kanazawa, Japan
Plenary Lecture
Low LatencyCoding Theory
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
IEEE ITW 2021, Virtually from Kanazawa, Japan
Tutorial Lecture
Private Information RetrievalSecrecyCoded Computing
IEEE ITW 2021, Virtually from Kanazawa, Japan
Tutorial Lecture
Polar CodesCoding Theory
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Database Graph Matching
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Database Graph Matching
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Group Testing
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning