Scholar
Mauricio A. Álvarez
Google Scholar ID: vrb4a_wAAAAJ
University of Manchester
Citations & Impact
Citations
2,797
H-index
20
i10-index
33
Publications
20
Co-authors
15
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Published a paper in the Machine Learning journal titled 'Adversarial vulnerability bounds for Gaussian process classification' with Michael T. Smith, Kathrin Grosse, and Michael Backes.
- - Released a preprint titled 'Shallow and Deep Nonparametric Convolutions for Gaussian Processes' with Thomas M. McDonald, Magnus Ross, and Michael T. Smith.
- - Released a preprint titled 'Adjoint-aided inference of Gaussian process driven differential equations' with Paterne Gahungu, Christopher W Lanyon, Engineer Bainomugisha, Michael Smith, and Richard D. Wilkinson.
- - A paper titled 'Predicting socioeconomic indicators using transfer learning on imagery data: an application in Brazil' has been accepted by GeoJournal, with Diego Castro.
- - A paper titled 'Correlated Chained Gaussian Processes for Modelling Citizens Mobility Using a Zero-Inflated Poisson Likelihood' has been accepted by IEEE Transactions on Intelligent Transportation Systems, with Juan-José Giraldo and Jie Zhang.
- - Released a preprint titled 'Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder' with Matthew Lyon and Paul Armitage, which has been accepted at MIDL 2022.
Research Experience
- Works as a Reader in Machine Learning at the Department of Computer Science, University of Manchester.
Background
- Interested in machine learning, probabilistic models, kernel methods, and stochastic processes. His work spans across areas such as Neuroscience, Neural Engineering, Systems biology, and Humanoid Robotics.
