6 papers
Generalized Random Gilbert-Varshamov Codes: Typical Error Exponent and Concentration Properties
Lan V. Truong, Albert Guillén i Fàbregas
We find the exact typical error exponent of constant composition generalized random Gilbert-Varshamov (RGV) codes over DMCs channels with generalized likelihood decoding. We show t…
Generative Adversarial Nets: Can we generate a new dataset based on only one training set?
Lan V. Truong
A generative adversarial network (GAN) is a class of machine learning frameworks designed by Goodfellow et al. in 2014. In the GAN framework, the generative model is pitted against…
Concentration Properties of Random Codes
Lan V. Truong, Giuseppe Cocco, Josep Font-Segura +1
This paper studies the concentration properties of random codes. Specifically, we show that, for discrete memoryless channels, the error exponent of a randomly generated code with…
Support Recovery in the Phase Retrieval Model: Information-Theoretic Fundamental Limits
Lan V. Truong, Jonathan Scarlett
The support recovery problem consists of determining a sparse subset of variables that is relevant in generating a set of observations. In this paper, we study the support recovery…
On the Capacity of Symmetric -user Gaussian Interference Channels with Feedback
Lan V. Truong, Hirosuke Yamamoto
A general time-varying feedback coding scheme is proposed for -user fully connected symmetric Gaussian interference channels. Based on the analysis of the general coding scheme,…
The Optimal Compression Rate of Variable-to-Fixed Length Source Coding with a Non-Vanishing Excess-Distortion Probability
Lan V. Truong, Vincent Y. F. Tan
We consider the variable-to-fixed length lossy source coding (VFSC) problem. The optimal compression rate of the average length of variable-to-fixed source coding, allowing a non-v…