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We found 19 result.
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Understanding Generative Adversarial Networks
15th Annual Shannon Memorial Lecture Understanding Generative Adversarial Networks David Tse Stanford University
Generative Adversarial Networks
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Deep learning and information theory: An Emerging Interface
Tutorial
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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
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Guidance from Information Theory – an engineering perspective
2018 Shannon Lecture Gottfried Ungerboeck     
ISIT Plenary LectureShannon Lectures
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What Do We Know About Matrix Estimation?
2018 ISIT Tutorial 6/17/18 What Do We Know About Matrix Estimation? Christina Lee Yu and Devavrat Shah
ISIT Plenary Lecture
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Nanoscale Information Processing
2018 ISIT Tutorial Vail, CO - 6/17/18 Nanoscale Information Processing Lav R. Varshney and Naresh R. Shanbhag
Tutorial
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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
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Sit Back and Enjoy the Noise
2018 ISIT Plenary Talk -- Vail, CO Sit Back and Enjoy the Noise Amos Lapidoth ETH Zurich  
ISIT Plenary Lecture
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BATS Codes Theory and Practice
ISIT Plenary Lecture
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Polar Codes: Origins to 5G and Beyond - Part 1
Channel CodingCoding TheoryPolar Codes
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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
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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
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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
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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
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Polar Codes: Origins to 5G and Beyond - Part 2
Channel CodingCoding TheoryPolar Codes
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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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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
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Community-Aware Group Testing
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Group Testing
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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