Ana Fernandez Vidal

Dr., Dr

Research Associate, School of Mathematical & Computer Sciences
Research Associate, School of Mathematical & Computer Sciences, Computer Science
PGR, School of Mathematical & Computer Sciences

EmailA.Fernandez_Vidal@hw.ac.uk

EH14 4AS
United Kingdom

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2 Conference contribution
2 Article
1 Working paper

Efficient stochastic optimisation by unadjusted Langevin Monte Carlo: Application to maximum marginal likelihood and empirical Bayesian estimation
De Bortoli, V., Durmus, A., Pereyra, M. & Vidal, A. F., May 2021, In: Statistics and Computing. 31, 3, 29.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Visualising COVID-19 Research
Le Bras, P., Gharavi, A., Robb, D. A., Vidal, A. F., Padilla, S. & Chantler, M. J., 13 May 2020, arXiv.
Research output: Working paper

File
1277 Downloads (Pure)
Maximum likelihood estimation of regularisation parameters
Fernandez Vidal, A. & Pereyra, M., 6 Sep 2018, 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, p. 1742-1746 5 p. (IEEE International Conference on Image Processing (ICIP)).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
4 Citations (Scopus)

120 Downloads (Pure)
Parametric modeling of wideband piezoelectric polymer sensors: Design for optoacoustic applications
Fernández Vidal, A., Ciocci Brazzano, L., Matteo, C. L., Sorichetti, P. A. & González, M. G., Sep 2017, In: Review of Scientific Instruments. 88, 9, 095004.
Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus)
Sensores piezoeléctricos para aplicaciones optoacústicas: Efectos de los procesos de relajación
Vidal, A. F., González, M. G. & Sorichetti, P., 10 Oct 2016, 2016 IEEE Biennial Congress of Argentina (ARGENCON). IEEE, p. 7345-7384 40 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Visualising Covid-19 Research and Improved by Google Cloud
Le Bras, Pierre (Recipient), Gharavi, A. (Recipient), Robb, David (Recipient), Padilla, Stefano (Recipient), Fernandez Vidal, Ana (Recipient) & Chantler, Michael John (Recipient), 1 Jun 2020
Prize: Prize (including medals and awards)

Efficient stochastic optimisation by unadjusted Langevin Monte Carlo: Application to maximum marginal likelihood and empirical Bayesian estimation

Visualising COVID-19 Research

Maximum likelihood estimation of regularisation parameters

Parametric modeling of wideband piezoelectric polymer sensors: Design for optoacoustic applications

Sensores piezoeléctricos para aplicaciones optoacústicas: Efectos de los procesos de relajación

Visualising Covid-19 Research and Improved by Google Cloud