Name
Affiliation
Papers
AARON B. WAGNER
Cornell Univ, Sch Elect & Comp Engn, Ithaca, NY 14850 USA
71
Collaborators
Citations 
PageRank 
47
322
37.39
Referers 
Referees 
References 
379
630
673
Search Limit
100630
Title
Citations
PageRank
Year
Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem with Markovity00.342022
On Exact Asymptotics of the Error Probability in Channel Coding: Symmetric Channels00.342021
Principal Bit Analysis: Autoencoding With Schur-Concave Loss00.342021
Optimal Mechanisms Under Maximal Leakage00.342020
Gaussian Multiterminal Source-Coding with Markovity: An Efficiently-Computable Outer Bound00.342020
A New Method for Employing Feedback to Improve Coding Performance00.342020
Functional Covering Of Point Processes00.342019
A New Proof For The Quadratic Gaussian Two-Encoder Source-Coding Problem00.342019
Measuring Quantum Entropy00.342019
The Quadratic Gaussian One-Help-Two Source-Coding Problem With Markovity00.342018
Variable Packet-Error Coding: The Point-To-Point Case00.342018
When Does Feedback Improve The Second-Order Coding Rate In Discrete Memoryless Channels?00.342018
Variable Packet-Error Coding.10.352018
An Operational Approach to Information Leakage60.472018
Gaussian variable packet-error coding.00.342017
Resilient communication against adversarial path-errors.00.342017
Coding for the Large-Alphabet Adversarial Channel.00.342017
An LP Upper Bound for Rate Distortion with Variable Side Information00.342017
The stochastic-calculus approach to multi-receiver poisson channels.00.342017
On very noisy channels with feedback.00.342017
LP Bounds for Rate-Distortion with Variable Side Information.00.342016
An operational measure of information leakage170.872016
A Downlink Scheduler for Multicasting Wireless Video-on-Demand10.352016
Vector Gaussian multi-decoder rate-distortion: Trace constraints10.372016
Measuring Secrecy by the Probability of a Successful Guess30.392015
Rate region of the vector Gaussian one-helper source-coding problem20.392015
Must one learn the channel to communicate at capacity?10.352014
Moderate Deviations in Channel Coding271.092014
Feedback can improve the second-order coding performance in discrete memoryless channels60.552014
The third-order term in the normal approximation for singular channels80.632014
A Rate–Distortion Approach to Index Coding70.542014
Vector Gaussian rate-distortion with variable side information20.412014
Refinement of the Sphere-Packing Bound: Asymmetric Channels10.342014
Classification of Homogeneous Data With Large Alphabets60.642013
Information Embedding and the Triple Role of Control.30.422013
Polytope codes for large-alphabet channels40.432013
General Index Coding With Side Information: Three Decoder Case40.552013
Multicasting for wireless video-on-demand00.342013
Achieving Capacity Of Large Alphabet Discrete Memoryless Channels30.482013
Lossless compression with moderate error probability40.402013
Source and channel simulation using arbitrary randomness00.342012
Sum Rate of the Vacationing-CEO Problem00.342012
Erasure Multiple Descriptions110.712012
Near-lossless compression of large alphabet sources30.482012
Refinement of the Random Coding Bound140.922012
Refinement of the sphere-packing bound60.552012
Lossy Source Coding With Byzantine Adversaries50.522011
Probability Estimation in the Rare-Events Regime130.992011
Reliability in Source Coding With Side Information80.472011
Distributed Rate-Distortion With Common Components200.922011
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