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Communication requirements for generating correlated random variables
Capacity of Gaussian channels with duty cycle and power constraints
On the Geometry of Convex Typical Sets
The Capacity Region of the Two-Receiver Gaussian Vector Broadcast Channel With Private and Common Messages
Feedback Capacity and Coding for the (0,k)-RLL Input-Constrained BEC
Extremum Problems of Directed Information
On Some Linear Codes over Z_2^s
Information Transmission Using the Nonlinear Fourier Transform, I,II,III
Channel Coding Techniques for Network Communication
Blind interference alignment for private information retrieval
A Cascade Code Construction for (n,k,d) Distributed Storage Systems
Bounds on the Zero-Error List-Decoding Capacity of the q/(q-1) Channel
Polynomial Methods in Statistical Inference: Theory and Practice
Exact Recovery in the Stochastic Block Model
Optimal k-Deletion Correcting Codes
Information Contraction and Decomposition
A Deterministic Algorithm for Computing the Weight Distribution of Polar Codes
Function Load Balancing Over Networks
Correcting Errors in DNA Storage
Universal Compression of Memoryless Sources Over Unknown Alphabets
Raptor Codes
Accumulate-Repeat-Accumulate Codes
Algebraic Soft-decision Decoding of Reed-Solomon Codes
Communication on the Grassmann manifold: A geometric approach to the noncoherent multiple-antenna channel
The context-tree weighting method: basic properties
Construction and decoding of a class of algebraic geometry codes
Asymptotically Good Quantum and Locally Testable Classical LDPC Codes
Locally Testable Codes with Constant Rate, Distance, and Locality
6G: The Personal Tactile Internet—And Open Questions for Information Theory
Capacity of Noisy Permutation Channels
General Continuity Bounds for Quantum Relative Entropies
Binary Hypothesis Testing With Deterministic Finite-Memory Decision Rules
Capacity of Multi-Antenna Gaussian Channels
Variations on the Gallager Bounds, Connections, and Applications
Bits Through Queues
Iterative (Turbo) Soft Interference Cancellation and Decoding for Coded CDMA
Lexicographic codes: Error-correcting codes from game theory
Universal coding, information, prediction, and estimation
Trellis-coded modulation with multidimensional constellations
Modular Curves, Shimura Curves, and Goppa Codes Better than the Varsharmov-Gilbert Bound
Exact Finite-Dimensional Filters for Certain Diffusions with Nonlinear Drift
An algorithm for computing the capacity of arbitrary discrete memoryless channels
Tree encoding of memoryless time-discrete sources with a fidelity criterion
Channel Coding: The Road to Channel Capacity
Coding for Errors and Erasures in Random Network Coding
Information-Spectrum Approach to Second-Order Coding Rate in Channel Coding
Multiuser MIMO Achievable Rates with Downlink Training and Channel State Feedback
Compute-and-Forward: Harnessing Interference Through Structured Codes
Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC
Unitary Isotropically Distributed Inputs are not Capacity-Achieving for Large-MIMO Fading Channels
Codes in permutations and error correction for rank modulation
On the deletion channel with small deletion probability
Degrees of freedom of the interference channel: A general formula
New Upper Bounds for Grain-Correcting and Grain Detecting Codes
Inference and Estimation in High Dimensional Data Analysis
A Family of Optimal Locally Recoverable Codes
Relations Between Information and Estimation: A Unified View
The Exact Rate-Memory Tradeoff for Caching with Uncoded Prefetching
Information-Theoretic Capacity Limits in Multi-cell Joint Processing Systems
Robust and adaptive communication under uncertain interference
Statistical and Information-Theoretic Methods for Data Analysis
The Sphere Packing Problem
Information Theory from a Functional Viewpoint
Distributed Simulation of Continuous Random Variables
A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs
Asymptotics of MAP Inference in Deep Networks
Deep Neural Network Approximation Theory
Reed–Muller Codes: Theory and Algorithms
An Entropic Inequality in Finite Abelian Groups Analogous to the Unified Brascamp-Lieb and Entropy Power Inequality
Optimal Redundancy in Exact Channel Synthesis
Identification via channels
Hypothesis Testing with Communication Constraints
Algorithms for Sliding Block Codes-An Application of Symbolic Dynamics to Information Theory
A coding scheme for additive noise channels with feedback--I: No bandwidth constraint
A New Class of Linear Error Correcting Codes
Noiseless coding of correlated information sources
The rate-distortion function for source coding with side information at the decoder
Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels
Lower Bounds on the Probability of Error for Classical and Classical-Quantum Channels
Minimum Expected Distortion in Gaussian Layered Broadcast Coding with Successive Refinement
Universal hypothesis testing in the learning-limited regime
Optimal entropy estimation on large alphabets via best polynomial approximation
Fundamental Limits of Cooperation
The Quantum Reverse Shannon Theorem and Resource Tradeoffs for Simulating Quantum Channels
Actions can speak more clearly than words
Duality-Based Bounds on Channel Capacity
Error Control for Network Coding
Generalized Minimum Distance Decoding with Arbitrary Error/Erasure Tradeoff
Information Loss in Deterministic Systems
Cooperative Diversity in Wireless Networks: Algorithms and Architectures
Model-Centric Approach to Discrete-Time Signal Processing for Dense Wavelength-Division Multiplexing Systems
Recurrence and Waiting Times in Stationary Processes, and their Applications in Data Compression
Information Theoretic Methods in Probability and Statistics
Strengthened Monotonicity of Relative Entropy via Pinched Petz Recovery Map
Consistency Thresholds for the Planted Bisection Model
Quantum Blahut-Arimoto Algorithms
Approximate quantum Markov chains
Reed–Muller Codes Achieve Capacity on Erasure Channels
Multiple Support Recovery Using Very Few Measurements Per Sample
Speeding up Distributed Machine Learning Using Codes