1 code implementation • 20 Jul 2020 • Pedro F. da Costa, Romy Lorenz, Ricardo Pio Monti, Emily Jones, Robert Leech
Formally, we employ Bayesian optimization to efficiently search the latent space of state-of-the-art GAN models, with the aim to automatically generate novel faces, to maximize an individual subject's response.
no code implementations • 1 May 2016 • Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Large-scale automated meta-analysis of neuroimaging data has recently established itself as an important tool in advancing our understanding of human brain function.
no code implementations • 24 Nov 2015 • Romy Lorenz, Ricardo P Monti, Ines R Violante, Aldo A. Faisal, Christoforos Anagnostopoulos, Robert Leech, Giovanni Montana
Bayesian optimization has been proposed as a practical and efficient tool through which to tune parameters in many difficult settings.
no code implementations • 6 Nov 2015 • Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
We propose a framework to perform streaming covariance selection.
no code implementations • 8 Feb 2015 • Ricardo Pio Monti, Romy Lorenz, Christoforos Anagnostopoulos, Robert Leech, Giovanni Montana
Such studies have recently gained momentum and have been applied in a wide variety of settings; ranging from training of healthy subjects to self-regulate neuronal activity to being suggested as potential treatments for clinical populations.