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Channel capacity (baud rate)
Communication-Efficient and Privacy-Preserving Distributed Learning
Interview to Shannon Awardee Janós Körner
The Laplacian Matrices of Graphs
Deep Learning for Inverse Problems
Private Information Retrieval
DNA Sequencing in the 21st Century: Algorithms and Estimation
To Infinity and Beyond: New Frontiers in Wireless Information Theory
Randomness - A Computational Complexity View
Coded String Reconstruction Problems
Coded Caching: Past, Present, Future
ISIT2021 Welcome Message
Private Computation with Applications to Machine Learning
Design and Decoding of Polar Codes with Large Kernels
Some Topics on Information Theoretic Security
Mutual Information in Machine Learning (1/3)
Estimation and Hypothesis Testing under Information Constraints (1/3)
Locally-Testable and Locally-Decodable Codes (3/3)
Fundamental Trade-Offs between Privacy and Utility in Data Sharing (3/3)
Common Information: Old And New
Schools 2023 February BoG Report
Teaching IT
Part 8 of 8: Introduction to Information Theory and Network Coding
Part 4 of 8: Introduction to Information Theory and Network Coding
Active Learning for Classification with Abstention
Guidance from Information Theory – an engineering perspective
Optimal Estimation
Channel Coding
The Bit Player Movie Trailer
Information bottlenecks in emerging distributed systems - Part 2
Meet the Shannon Lecturer Alon Orlitsky
How internet communication works: Network Coding
Codes for Distributed Storage — Asking More of an Old Friend
BATS Codes Theory and Practice
Sit Back and Enjoy the Noise
Interview with the Shannon Awardee - David Tse
Signal Analysis Helping Art Historians and Conservators
The SAT-UNSAT Transition for Random Satisfiability Problems in the Case of Continuous Variables
Coding for Noisy Networks
Machine-Learning Based Approaches To Coding
Explicit and Implicit Inductive Bias in Deep Learning
Modeling and Optimization of Latency in Erasure-Coded Storage Systems
Random Walk on High Dimensional Expanders (1/3)
Random Walk on High Dimensional Expanders (3/3)
Mutual Information in Machine Learning (2/3)
Mutual Information in Machine Learning (3/3)
Fundamental Trade-Offs between Privacy and Utility in Data Sharing (1/3)
Diversity vs. Parallelism in Distributed Computing with Redundancy
Information Theory For Neural Inference
Part 1 of 8: Introduction to Information Theory and Network Coding
Part 2 of 8: Introduction to Information Theory and Network Coding
Part 2 of 3: Bitcoin and Blockchains
Information: From Theory to Practice
How Digital Platforms are Radically Transforming Organizations
Binary Hypothesis Testing with Deterministic Machine
Understanding Generative Adversarial Networks
From Constrained Signaling to Network Interference Alignment via an Information-Estimation Perspective
The Asymptotic Equipartition Property
The Asymptotic Equipartition Property
Digital Presence Committee, June 2022 BoG Report
Active Methods: Learning as you go and as fast as you can - Part 3
Schools 2023 December BoG Report
The Beauty of Lempel-Ziv Compression
What is a Markov chain?
High Dimensional Classification with Invariant Deep Networks
Combinatorial Reasoning in Information Theory
Facets of Entropy
Three Recent Examples of the Effectiveness of Convex Programming in the Information Sciences
From Two to Infinity: Information Theory and Statistics for Large Alphabets
Efficient Decoding of Polar Codes - Algorithms and Implementations
Making Blockchains Scalable and Efficient - the Power of Codes
Spatially Coupled LDPC Codes - Theory and Applications
An Introduction to Quantum Computation
ISIT2021 Promo Video January
Coding for Distributed Information Systems: Adversarial Sources and Approximated Decoding
Short Packets over Wireless Fading Networks
Random Walk on High Dimensional Expanders (2/3)
Locally-Testable and Locally-Decodable Codes (1/3)
Fundamental Trade-Offs between Privacy and Utility in Data Sharing (2/3)
Finite-Blocklength Schemes in Information Theory (3/3)
The generalization error of overparametrized models: Insights from exact asymptotics
Benign Overfitting
Information, Compression, Learning, Life
Broadcast Channels - What's New
Bias And Unfairness In Data From People: Challenges, Models, Solutions, And Open Problems
D&I October 2022 BoG Report
Private Set Intersection
Part 6 of 8: Introduction to Information Theory and Network Coding
Part 3 of 3: Bitcoin and Blockchains
Quantum Information's Birth, Growth, And Significance
Musing upon Information Theory
Distance-Divergence Inequalities
Information in Small Bits - Chapter 1
Digital Presence Committee, March 2022 BoG Report
Building the Information Theory Society Together
From 3T to 5G: Theory and Practice of Cooperation in Wireless Networks
Claude Shannon: A Mathematical Theory of Communication
Morse Code
What is a bit?
Completely Random Measures for Bayesian Nonparametrics
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