5 citations · 5 across the 3 of their papers we have counts for
5 papers
Diffusion assisted image reconstruction in optoacoustic tomography
M. G. González, M. Vera, A. Dreszman +1
In this paper we consider the problem of acoustic inversion in the context of the optoacoustic tomography image reconstruction problem. By leveraging the ability of the recently pr…
Combining band-frequency separation and deep neural networks for optoacoustic imaging
Martin G. Gonzalez, Matias Vera, Leonardo Rey Vega
In this paper we consider the problem of image reconstruction in optoacoustic tomography. In particular, we devise a deep neural architecture that can explicitly take into account…
The Role of Mutual Information in Variational Classifiers
Matias Vera, Leonardo Rey Vega, Pablo Piantanida
Overfitting data is a well-known phenomenon related with the generation of a model that mimics too closely (or exactly) a particular instance of data, and may therefore fail to pre…
On fully-distributed composite tests with general parametric data distributions in sensor networks
Juan Maya, Leonardo Rey Vega
We consider a distributed detection problem where measurements at each sensor follow a general parametric distribution. The network does not have a central processing unit or fusio…
Collaborative Information Bottleneck
Matías Vera, Leonardo Rey Vega, Pablo Piantanida
This paper investigates a multi-terminal source coding problem under a logarithmic loss fidelity which does not necessarily lead to an additive distortion measure. The problem is m…