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Awards
Aaron D. Wyner Distinguished Service Award
Claude E. Shannon Award
Communications Society & Information Theory Society Joint Paper Award
Goldsmith Lecturer
Information Theory Society Paper Award
Jack Keil Wolf ISIT Student Paper Award
James L. Massey Research & Teaching Award for Young Scholars
Joy Thomas Tutorial Paper Award
Padovani Lecturer
Thomas M. Cover Dissertation Award
Awards
Distinguished Lecturers
Events
Workshop on Distributed Computing in 6G IoT Networks
with 麻豆传媒AV International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2024 15-18 December 2024, Indian Institute of Technology Guwahati, Assam, India
Australasian Summer School: Recent Trends in Algorithms
Free 4-day Australasian Summer School on "Recent Trends in Algorithms" at the University of Sydney, for undergraduate and postgraduate students, on Algorithmic Fairness, Quantum Computing, Data Structures, and Privacy. Student travel funding available!
Machine Learning and Compression Workshop @ NeurIPS 2024
The workshop solicits original research in the intersection of machine learning, data/model compression, and more broadly information theory. We look forward to your participation and contributions!
Conferences
FOCS 2024
麻豆传媒AV 65th Annual Symposium on Foundations of Computer Science (FOCS) will be held in Chicago, IL,鈥
WiOpt 2024 Workshop on Modeling and Optimization for Semantic Communications (MOSC) - October 21-24, 2024, South Korea
We are pleased to invite original papers to the Workshop on Modeling and Optimization for Semantic鈥
2024 The International Symposium on Information Theory and Its Applications (ISITA2024)
The 2024 International Symposium on Information Theory and Its Applications (ISITA) will be held鈥
Job list
Presidential Postdoctoral Fellow at Rutgers (deadline Oct 18)
Postdoc Opportunity at Rutgers ECE
Tenure-Track / Tenured Faculty Position in Theoretical Quantum Science and Engineering
Research Staff Member - CCR Princeton
Polytechnique Montr茅al - Professor of Electrical Engineering - Information, coding, machine learning or signal processing theory
Research Fellow (Postdoc) in Quantum Information Theory
Faculty Positions in Fintech, Financial Engineering, AI, Machine Learning, statistics, and Data Science
Postdoctoral Positions at Polit猫cnica de Catalunya, Barcelona
Postdoc Positions at Bilkent University
Postdoc in Information Theory, Network Science, and Statistical Learning Applied to Brain Imaging Data at the University of Maryland, College Park
Postdoctoral Research Associate Position on Quantum Information and Security at King's College London
Postdoctoral Researcher position at the Technical University of Munich
Postdoc position in machine learning over wireless networks
Quantum Distributed Computing and Communication for Secure Private Information Retrieval
Postdoctoral Research Associate Position - Imperial College London
Postdoc positions on Information Theory/Coding and DNA Storage
Postdoctoral Research Fellow in Error Correction Coding
Postdoctoral positions at the University of Bristol
Postdoc Position in Coding for Physical Layer Security
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Jobs Board
Presidential Postdoctoral Fellow at Rutgers (deadline Oct 18)
We鈥檙e looking for talented researchers to join our team through the Rutgers Postdoctoral Fellowship鈥
Postdoc Opportunity at Rutgers ECE
馃毃 **Postdoc Opportunity at Rutgers ECE!** 馃毃 Join Dr. Salim El Rouayheb鈥檚 group to work on **鈥
News
Call for ISIT and ITW Proposals
麻豆传媒AV Information Theory Society is calling for proposals for the International Symposium on鈥
Call for Nominations: Padovani Lecturer, Goldsmith Lecturer, and Distinguished Lecturers
The 麻豆传媒AV Information Theory Society solicits nominations for the 2025 Padovani Lecturer, the 2025鈥
Call for Nominations: Joy Thomas Tutorial Paper Award
The Society solicits nominations for the inaugural 麻豆传媒AV Joy Thomas Tutorial Paper Award. Deadline:鈥
Dr. Mario Diaz Torres: Obituary and Request for Help
We regret to share that the IT Society lost a rising information theorist and statistician Dr.鈥
News
Call for ISIT and ITW Proposals
Call for Nominations: Padovani Lecturer, Goldsmith Lecturer, and Distinguished Lecturers
Call for Nominations: Joy Thomas Tutorial Paper Award
麻豆传媒AV BITS: Call for Papers on Generative Models
Dr. Mario Diaz Torres: Obituary and Request for Help
Entropy Special Issue: "Information-Theoretic Security and Privacy"
CFP: JSAIT Special Issue on Quantum Error Correction and Fault Tolerance
Urbashi Mitra is the winner of the 2024 Aaron D. Wyner Distinguished Service Award
Shannon Award for 2025
Call for Recent Results Posters: 2024 The International Symposium on Information Theory and Its Applications (ISITA2024)
2024 Jack Keil Wolf ISIT Student Paper Award Recipients Named
2024 Information Theory Society Paper Award Recipients Named
Recipients of the 2024 麻豆传媒AV Communication Society and Information Theory Society Joint Paper Award: Justin Singh Kang and Wei Yu
麻豆传媒AV BITS: Call for Papers on Privacy and Security
2024 James L. Massey Research & Teaching Award for Young Scholars awarded to Flavio du Pin Calmon
2024 Thomas M. Cover Dissertation Award awarded to Sophie H. Yu
Call for nominations for the next Editor-in-Chief of the 麻豆传媒AV Journal on Selected Areas in Information Theory (JSAIT)
JSAIT Special Issue on Electromagnetic Information Theory
2024 North American School of Information Theory (NASIT 2024) Ottawa
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Past meeting
BOG Meeting - Hybrid Meeting @ University of Toronto
BOG Meeting - Hybrid Meeting @ ISIT 2024, Athens, Greece
BOG Meeting - Hybrid Meeting @ ITA 2024, San Diego, California
BOG Meeting -Hybrid; Atlanta, GA 2023
BOG Meeting - Hybrid Meeting @ ISIT 2023, Taipei, Taiwan
BOG Meeting - Hybrid Meeting @ ITA 2023, San Diego, California
BOG Meeting - October 2022
BOG Meeting - Hybrid Meeting @ ISIT 2022, Espoo, Finland
BOG Meeting - March 2022
BOG Meeting - November 2021
BOG Meeting - June 2021
BOG Meeting - March 2021
BOG Meeting @ New Brunswick, NJ - 2019
BoG Meeting @ Chicago, IL 2015
BoG Meeting @ ISIT 2015, Hong Kong
BoG Meeting - GlobalMeet
BoG Meeting @ ITA 2014, San Diego, CA
BoG Meeting @ ITA 2013, San Diego, CA
BoG meeting @ ITW 2012, Lausanne
BoG meeting @ ISIT 2012, Cambridge, MA
IT BoG meeting @ ITA 2012, UCSD
BoG Meeting @ ITW 2011, Paraty, Brazil
BoG Meeting @ ISIT 2011, St. Petersburg, Russia
BoG Meeting, ISIT 2010
BoG Meeting, La Jolla, CA, 2010
BoG Meeting, ITW Taormina 2009
BoG Meeting, ISIT 2009
Research In Information Theory
Shannon, Euler, and Mazes
One of Claude Shannon鈥檚 best remembered 鈥渢oys鈥 was his maze-solving machine, created by partitions on a rectangular grid. A mechanical mouse was started at one point in the maze with the task of finding cheese at another point. Relays under the board guided successive moves, each of which were taken in the first open counterclockwise direction from the previous move. In belated honor of Shannon鈥檚 centenary and of amnesia in the mouse at age 70, we compare this deterministic search strategy with ...
6G: The Personal Tactile Internet鈥擜nd Open Questions for Information Theory
The initial vision of cellular communications was to deliver ubiquitous voice communications to anyone anywhere. In a simplified view, 1G delivered voice services for business customers, and only 2G for consumers. Next, this also initiated the appetite for cellular data, for which 3G was designed. However, Blackberry delivered business smartphones, and 4G made smartphones a consumer device. The promise of 5G is to start the Tactile Internet, to control real and virtual objects in real-time via c...
Function Load Balancing Over Networks
Using networks as a means of computing can reduce the communication flow over networks. We propose to distribute the computation load in stationary networks and formulate a flow-based delay minimization problem that jointly captures the costs of communications and computation. We exploit the distributed compression scheme of Slepian-Wolf that is applicable under any protocol information. We introduce the notion of entropic surjectivity as a measure of function鈥檚 sparsity and to understand the li...
Reed鈥揗uller Codes: Theory and Algorithms
Reed-Muller (RM) codes are among the oldest, simplest and perhaps most ubiquitous family of codes. They are used in many areas of coding theory in both electrical engineering and computer science. Yet, many of their important properties are still under investigation. This paper covers some of the recent developments regarding the weight enumerator and the capacity-achieving properties of RM codes, as well as some of the algorithmic developments. In particular, the paper discusses the recent conn...
Deep Neural Network Approximation Theory
This paper develops fundamental limits of deep neural network learning by characterizing what is possible if no constraints are imposed on the learning algorithm and on the amount of training data. Concretely, we consider Kolmogorov-optimal approximation through deep neural networks with the guiding theme being a relation between the complexity of the function (class) to be approximated and the complexity of the approximating network in terms of connectivity and memory requirements for storing t...
Quantum Blahut-Arimoto Algorithms
We generalize alternating optimization algorithms of Blahut-Arimoto type to the quantum setting. In particular, we give iterative algorithms to compute the mutual information of quantum channels, the thermodynamic capacity of quantum channels, the coherent information of less noisy quantum channels, and the Holevo quantity of classical-quantum channels. Our convergence analysis is based on quantum entropy inequalities and leads to a priori additive eps-approximations after O(eps^(-1)*log N) iter...
A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs
Many modern applications involve accessing and processing graphical data, i.e. data that is naturally indexed by graphs. Examples come from internet graphs, social networks, genomics and proteomics, and other sources. The typically large size of such data motivates seeking efficient ways for its compression and decompression. The current compression methods are usually tailored to specific models, or do not provide theoretical guarantees. In this paper, we introduce a low-complexity lossless com...
Asymptotics of MAP Inference in Deep Networks
Deep generative priors are a powerful tool for reconstruction problems with complex data such as images and text. Inverse problems using such models require solving an inference problem of estimating the input and hidden units of the multi-layer network from its output. Maximum a priori (MAP) estimation is a widely-used inference method as it is straightforward to implement, and has been successful in practice. However, rigorous analysis of MAP inference in multi-layer networks is difficult. Thi...
Channel Coding Techniques for Network Communication
Next-generation wireless networks aim to enable order-of-magnitude increases in connectivity, capacity, and speed. Such a goal can be achieved in part by utilizing larger frequency bandwidth or by deploying denser base stations. As the number of wireless devices is exploding, however, it is inevitable that multiple devices communicate over the same time and same spectrum. Consequently, improving the spectral efficiency in wireless networks with multiple senders and receivers becomes the key chal...