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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
IEEE Globecom 2024 Workshop on Channel Coding beyond 5G: Call for Papers
Workshop on Channel Coding beyond 5G (in conjunction with IEEE Globecom 2024) is now open for submissions. The submission deadline is 12 August 2024.
BOG Meeting - Hybrid Meeting @ ISIT 2024, Athens, Greece
This will be a hybrid meeting in person room and on zoom in conjunction with ISIT 2024.
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 Communications (MOSC) held in conjunction with the WiOpt 2024, South Korea.
Conferences
BOG Meeting - Hybrid Meeting @ ISIT 2024, Athens, Greece
This will be a hybrid meeting in person room and on zoom in conjunction with ISIT 2024.
ISIT Workshop: NeurIT: Information theory in neuroscience and neuroengineering CFP
Neuroscience + Neuroengineering + IT = new theory and revolutionary applications.
…
ISIT 2024 Workshop on Information-Theoretic Methods for Trustworthy Machine Learning
The ISIT 2024 Workshop on Information-Theoretic Methods for Trustworthy Machine Learning is…
Job list
Faculty Position at University of Toronto in Deep Learning
New York University: Tenure-Track Positions in Artificial Intelligence
Research Fellow in Coding Theory
Faculty Position in Electrical Engineering at Notre Dame - Open Rank
Postdoc on High-Speed Error-Correcting Codes and Signal Shaping
Postdoc Position in Information Theory at Eindhoven University of Technology
Postdoctoral Scholar, California Institute of Technology
Vertex Postdoctoral Positions at USC
Postdoc in Machine Learning for Wireless Propagation at USC
15 PhD Fellowships in Computer Science at the University of Pisa
Phd and Postdoctoral Positions in Information Theory at INRIA
Postdoc Position in Wireless Networks at Northwestern University
Postdoctoral Position in Data-driven Graphical Models at ASU
Open Faculty position on Quantum Information Processing with Photons at Télécom Paris
Postdoc Positions at Northwestern and TTIChicago
Tenured Faculty Position in Cryptograph at Télécom Paris
Postdoctoral Position at the Ohio State University
Tenure-Track Position in Information and Data Science at the University of Cambridge
Post Doc in High-Throughput Coding at DTU
Research Assistant Professor in the Foundations of Data Science at the University of Illinois at Chicago
Pagination
Jobs Board
Postdoctoral Research Associate Position on Quantum Information and Security at King's College London
Postdoctoral Researcher position at the Technical University of Munich
The TUM chair of communications engineering has an opening for a post-doc position at the…
Postdoc position in machine learning over wireless networks
Join Prof. Durisi's team at Chalmers (Gothenburg, Sweden) as a postdoc, to work on an exciting…
News
Recipients of the 2024 IEEE Communication Society and Information Theory Society Joint Paper Award: Justin Singh Kang and Wei Yu
The Joint Paper Award recognizes outstanding papers that lie at the intersection of communications…
2024 James L. Massey Research & Teaching Award for Young Scholars awarded to Flavio du Pin Calmon
The James L. Massey Research & Teaching Award for Young Scholars recognizes outstanding…
2024 Thomas M. Cover Dissertation Award awarded to Sophie H. Yu
The Thomas M. Cover Dissertation Award award is granted annually to the author of an outstanding…
Call for nominations for the next Editor-in-Chief of the IEEE Journal on Selected Areas in Information Theory (JSAIT)
The JSAIT Steering Committee requests nominations for the next EiC with deadline June 15, 2024.
News
Survey on the Possible Format of Future ISITs
ISIT 2021 - Virtual Mentorship Event
Q&A Session with Shannon Award Recipient Alon Orlitsky
2021 ComSoc/ITSoc Joint Paper Award Recipients Named
ISIT 2021 - Meet the Shannon Lecturer
ISIT 2021 Begins July 12 (Australia Time!)
Gerhard Kramer Named Recipient of the 2021 Aaron D. Wyner Distinguished Service Award
Call for Volunteers - Table Hosts for WITHITS Networking Event
CFP: Entropy: Special Issue "Information Theory and Machine Learning"
Changho Suh named recipient of the 2021 James L. Massey Award
Call for nominations for the second Editor-in-Chief of the IEEE Journal on Selected Areas in Information Theory (JSAIT)
Anuran Makur named the recipient the 2021 Thomas M. Cover Dissertation Award
2021 North American School of Information Theory
2021 ITSoc Chapter of the Year Announced!
ISIT2021 Technical Program Is Now Available
Next JSAIT Special Issue will be on Information Theoretic Foundations of Future Communication Systems
2021 North American School of Information Theory
Attention ITSoc Student Members! ISIT 2021 Four Minutes, Two Techniques Contest
ISIT Scholarships for Undergraduates from Groups Currently Underrepresented in ITSoc
ISIT 2021 Call for Recent Results
Pagination
Past meeting
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’s best remembered “toys” 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’s centenary and of amnesia in the mouse at age 70, we compare this deterministic search strategy with ...
6G: The Personal Tactile Internet—And 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’s sparsity and to understand the li...
Reed–Muller 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...
Upcoming Events
IEEE International Symposium on Information Theory (ISIT) 2024
Ottawa, ON, Canada