activity
20162024
most citedLearning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SP2024

Decentralized RL-Based Data Transmission Scheme for Energy Efficient Harvesting

Rafaela Scaciota, Glauber Brante, Richard Souza +4

The evolving landscape of the Internet of Things (IoT) has given rise to a pressing need for an efficient communication scheme. As the IoT user ecosystem continues to expand, tradi…

cs.IT2021

On learning parametric distributions from quantized samples

Septimia Sarbu, Abdellatif Zaidi

We consider the problem of learning parametric distributions from their quantized samples in a network. Specifically, agents or sensors observe independent samples of an unknow…

cs.LG2018★ 2 cited

Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds

Septimia Sârbu, Riccardo Volpi, Alexandra Peşte +1

In this paper we propose two novel bounds for the log-likelihood based on Kullback-Leibler and the Rényi divergences, which can be used for variational inference and in particular…

cs.IT2017

On the Courtade-Kumar conjecture for certain classes of Boolean functions

Septimia Sarbu

We prove the Courtade-Kumar conjecture, for certain classes of -dimensional Boolean functions, and for all values of the error probability of the binary symmet…

cs.IT2017

The maximum mutual information between the output of a discrete symmetric channel and several classes of Boolean functions of its input

Septimia Sarbu

We prove the Courtade-Kumar conjecture, for several classes of n-dimensional Boolean functions, for all and for all values of the error probability of the binary symmetr…

cs.IT2016

The maximum mutual information between the output of a binary symmetric channel and a Boolean function of its input

Septimia Sarbu

We prove the Courtade-Kumar conjecture, which states that the mutual information between any Boolean function of an -dimensional vector of independent and identically distribute…