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Modeling and Optimization of Latency in Erasure-Coded Storage Systems

IEEE ITW 2021, Virtually from Kanazawa, Japan Tutorial Lecture

Storage

Understanding Generative Adversarial Networks

15th Annual Shannon Memorial Lecture Understanding Generative Adversarial Networks David Tse Stanford University

Generative Adversarial Networks

Active Methods: Learning as you go and as fast as you can - Part 3

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Machine Learning

Information bottlenecks in emerging distributed systems - Part 2

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Machines learningDistributed LearningDistributed Systems

Communication and Sensing: From Compressed Sampling to Model-based Deep Learning

IEEE ITW 2021, Virtually from Kanazawa, Japan Plenary Lecture

Machine LearningSignal ProcessingDeep Learning

Code-Based Cryptography

IEEE ITW 2021, Virtually from Kanazawa, Japan Tutorial Lecture

CryptographyCoding Theory

Short Packets over Wireless Fading Networks

IEEE ITW 2021, Virtually from Kanazawa, Japan Plenary Lecture

Low LatencyCoding Theory

Coding for Distributed Information Systems: Adversarial Sources and Approximated Decoding

IEEE ITW 2021, Virtually from Kanazawa, Japan Plenary Lecture

Coding TheoryDistributed Systems

Design and Decoding of Polar Codes with Large Kernels

IEEE ITW 2021, Virtually from Kanazawa, Japan Tutorial Lecture

Polar CodesCoding Theory

Private Computation with Applications to Machine Learning

IEEE ITW 2021, Virtually from Kanazawa, Japan Tutorial Lecture

Private Information RetrievalSecrecyCoded Computing

Polar Codes: Origins to 5G and Beyond - Part 1

Channel CodingCoding TheoryPolar Codes

Information Theoretic Foundations for Data Science - Part 2

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Machine Learning

Information bottlenecks in emerging distributed systems - Part 1

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Machines learningDistributed LearningDistributed Systems

An Information Theoretic Perspective on Database and Graph Matching - Part 1

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Database Graph Matching

Community-Aware Group Testing

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Group Testing

Active Methods: Learning as you go and as fast as you can - Part 1

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Machine Learning

Active Methods: Learning as you go and as fast as you can - Part 2

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Machine Learning

Polar Codes: Origins to 5G and Beyond - Part 2

Channel CodingCoding TheoryPolar Codes

Information Theoretic Foundations for Data Science - Part 1

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Machine Learning

An Information Theoretic Perspective on Database and Graph Matching - Part 2

Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.

Database Graph Matching

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