INVESTIGADORES
VERA MatÍas Alejandro
artículos
VERA, MATIAS; REY VEGA, LEONARDO; PIANTANIDA, PABLO
PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss
Information and Inference: A Journal of the IMA; Año: 2024 vol. 13
GONZÁLEZ, MARTÍN G.; VERA, MATIAS; DRESZMAN, ALAN; REY VEGA, LEONARDO J.
Diffusion assisted image reconstruction in optoacoustic tomography
OPTICS AND LASERS IN ENGINEERING; Año: 2024 vol. 178
VERA, M.; GONZÁLEZ, M.G.; VEGA, L. REY
Invariant representations in deep learning for optoacoustic imaging
REVIEW OF SCIENTIFIC INSTRUMENTS; Año: 2023 vol. 94
VERA, MATIAS; REY VEGA, LEONARDO; PIANTANIDA, PABLO
The role of mutual information in variational classifiers
MACHINE LEARNING; Año: 2023
GONZÁLEZ, MARTÍN G.; VERA, MATIAS; VEGA, LEONARDO J. REY
Combining band-frequency separation and deep neural networks for optoacoustic imaging
OPTICS AND LASERS IN ENGINEERING; Año: 2023 vol. 163
MATIAS VERA; LEONARDO REY VEGA; PABLO PIANTANIDA
Information flow in Deep Restricted Boltzmann Machines: An analysis of mutual information between inputs and outputs
NEUROCOMPUTING; Lugar: Amsterdam; Año: 2022 vol. 507 p. 235 - 246
MATÍAS ALEJANDRO VERA; LEONARDO REY VEGA; PABLO PIANTANIDA
Collaborative Information Bottleneck
IEEE TRANSACTIONS ON INFORMATION THEORY; Año: 2018 vol. 65 p. 787 - 815
MATÍAS ALEJANDRO VERA; LEONARDO REY VEGA; PABLO PIANTANIDA
Compression-Based Regularization With an Application to Multitask Learning
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING; Año: 2018 vol. 12 p. 1063 - 1076

