Leonardo Rey Vega

Universidad de Buenos Aires — Argentina

Computer Science · Physical Sciences

15h-index1.4kcitations135works0.02yr avg
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Research Topics

Distributed Sensor Networks and Detection Algorithms(21), Wireless Communication Security Techniques(20), Cooperative Communication and Network Coding(19), Advanced Adaptive Filtering Techniques(18), Target Tracking and Data Fusion in Sensor Networks(13)

Publications135 total

Redes Neuronales Guiadas para Aplicaciones Modeladas por la Ecuación de Onda
Mecánica Computacional·2025Open Access
Automatización de un túnel de viento para la calibración de anemómetros del Servicio Meteorológico Nacional
Elektron·2025Open Access
Análisis de la calidad del huevo de gallinas criollas (Gallus domesticus) a diferentes días de conservación al ambiente en la amazonia ecuatoriana
Archivos de Zootecnia·2024Open Access
Using Spatial Diffusions for Optoacoustic Tomography Image Reconstruction
2024Open Access
Diffusion assisted image reconstruction in optoacoustic tomography
Optics and Lasers in Engineering·2024
Diffusion assisted image reconstruction in optoacoustic tomography
arXiv (Cornell University)·2024Open Access
PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss
Information and Inference A Journal of the IMA·2024
An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks
IEEE Open Journal of the Communications Society·2023· 4 citedOpen Access
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
IEEE Transactions on Dependable and Secure Computing·2023· 10 citedOpen Access
A Resource-Efficient Asymptotically Equivalent GLRT Test for Radio Source Distributed Detection
2023
Red adversaria generativa aplicada a la eliminación de ruido y artefactos en sinogramas de tomografía optoacústica
Elektron·2023Open Access
The role of mutual information in variational classifiers
Machine Learning·2023· 2 citedOpen Access
Invariant representations in deep learning for optoacoustic imaging
Review of Scientific Instruments·2023· 1 cited
Invariant Representations in Deep Learning for Optoacoustic Imaging
arXiv (Cornell University)·2023Open Access
An Asymptotically Equivalent GLRT Test for Distributed Detection in Wireless Sensor Networks
arXiv (Cornell University)·2023Open Access
Combining band-frequency separation and deep neural networks for optoacoustic imaging
Optics and Lasers in Engineering·2023· 5 cited
An Asymptotically Equivalent GLRT Test for Distributed Detection in Wireless Sensor Networks
IEEE Transactions on Signal and Information Processing over Networks·2023· 4 citedOpen Access
An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks
arXiv (Cornell University)·2022Open Access
Combining band-frequency separation and deep neural networks for optoacoustic imaging
arXiv (Cornell University)·2022· 1 citedOpen Access
Stealth Attacks on the SADI with Prior Information on the State Covariance Matrix
2022 IEEE Biennial Congress of Argentina (ARGENCON)·2022· 1 cited
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Frequent Co-authors

Cecilia G. Galarza(15), Pablo Piantanida(13), Hernán G. Rey(11), Jacob Benesty(9), S. Tressens(8), Matías Vera(8), Juan Augusto Maya(8), Andrés Altieri(5), Francisco Messina(4), Pablo Marchi(4), Pablo Briff(3), Ariel Lutenberg(3), Fabian Vargas(3), Danny Rojas(2), Akhil Datta‐Gupta(2), Martín González(2), Alfred O. Hero(2), Mohammad Patwary(2), H. Laiz(1), Pablo Piantanida(1)