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Ana Fernandez Vidal
Ana Fernandez Vidal
Research Associate at Heriot-Watt University
Verified email at hw.ac.uk - Homepage
Title
Cited by
Cited by
Year
Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments
AF Vidal, V De Bortoli, M Pereyra, A Durmus
SIAM Journal on Imaging Sciences 13 (4), 1945-1989, 2020
592020
Visualising COVID-19 research
PL Bras, A Gharavi, DA Robb, AF Vidal, S Padilla, MJ Chantler
arXiv preprint arXiv:2005.06380, 2020
432020
Efficient stochastic optimisation by unadjusted Langevin Monte Carlo: Application to maximum marginal likelihood and empirical Bayesian estimation
V De Bortoli, A Durmus, M Pereyra, AF Vidal
Statistics and Computing 31, 1-18, 2021
35*2021
Maximum likelihood estimation of regularization parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part II: Theoretical analysis
V De Bortoli, A Durmus, M Pereyra, AF Vidal
SIAM Journal on Imaging Sciences 13 (4), 1990-2028, 2020
312020
Maximum likelihood estimation of regularisation parameters
AF Vidal, M Pereyra
2018 25th IEEE International Conference on Image Processing (ICIP), 1742-1746, 2018
162018
Parametric modeling of wideband piezoelectric polymer sensors: design for optoacoustic applications
A Fernández Vidal, L Ciocci Brazzano, CL Matteo, PA Sorichetti, ...
Review of Scientific Instruments 88 (9), 2017
162017
Efficient stochastic optimisation by unadjusted langevin monte carlo. application to maximum marginal likelihood and empirical bayesian estimation
V De Bortoli, A Durmus, M Pereyra, AF Vidal
arXiv preprint arXiv:1906.12281, 2019
82019
Visualising COVID-19 Research. arXiv.(2020)
P Le Bras, A Gharavi, DA Robb, AF Vidal, S Padilla, MJ Chantler
arXiv preprint arXiv:2005.06380, 0
7
Fast Bayesian model selection in imaging inverse problems using residuals
AF Vidal, M Pereyra, A Durmus, JF Giovannelli
2021 IEEE Statistical Signal Processing Workshop (SSP), 91-95, 2021
32021
Bayesian computation in imaging inverse problems with partially unknown models
AF Vidal
Heriot-Watt University, 2021
2021
Sensores piezoeléctricos para aplicaciones optoacústicas: Efectos de los procesos de relajación
AF Vidal, MG González, P Sorichetti
2016 IEEE Biennial Congress of Argentina (ARGENCON), 1-5, 2016
2016
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Articles 1–11