54 citations · 124 across the 19 of their papers we have counts for
19 papers
Using Spatial Diffusions for Optoacoustic Tomography Image Reconstruction
Martin G. Gonzalez, Matias Vera, Leonardo Rey Vega
Optoacoustic tomography image reconstruction has been a problem of interest in recent years. By exploiting the exceptional generative power of the recently proposed diffusion model…
Invariant Representations in Deep Learning for Optoacoustic Imaging
Matias Vera, Martin G. Gonzalez, Leonardo Rey Vega
Image reconstruction in optoacoustic tomography (OAT) is a trending learning task highly dependent on measured physical magnitudes present at sensing time. The large number of diff…
An Asymptotically Equivalent GLRT Test for Distributed Detection in Wireless Sensor Networks
Juan Augusto Maya, Leonardo Rey Vega, Andrea M. Tonello
In this article, we consider the problem of distributed detection of a localized radio source emitting a signal. We consider that geographically distributed sensor nodes obtain ene…
Cross-domain Sentiment Classification in Spanish
Lautaro Estienne, Matias Vera, Leonardo Rey Vega
Sentiment Classification is a fundamental task in the field of Natural Language Processing, and has very important academic and commercial applications. It aims to automatically pr…
An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks
Juan Augusto Maya, Leonardo Rey Vega, Andrea M. Tonello
We consider the distributed detection problem of a temporally correlated random radio source signal using a wireless sensor network capable of measuring the energy of the received…
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
Georg Pichler, Marco Romanelli, Leonardo Rey Vega +1
Federated Learning is expected to provide strong privacy guarantees, as only gradients or model parameters but no plain text training data is ever exchanged either between the clie…