18 citations · 27 across the 6 of their papers we have counts for
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cs.LG2019
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth +7
Machine learning techniques have been successfully applied to super-resolution tasks on natural images where visually pleasing results are sufficient. However in many scientific do…
cs.LG2012★ 5 cited
Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models
Alfredo Kalaitzis, Neil Lawrence
Probabilistic principal component analysis (PPCA) seeks a low dimensional representation of a data set in the presence of independent spherical Gaussian noise. The maximum likeliho…