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cs.LG2024
A tutorial on multi-view autoencoders using the multi-view-AE library
Ana Lawry Aguila, Andre Altmann
There has been a growing interest in recent years in modelling multiple modalities (or views) of data to for example, understand the relationship between modalities or to generate…
cs.LG2023
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
James Chapman, Lennie Wells, Ana Lawry Aguila
The Canonical Correlation Analysis (CCA) family of methods is foundational in multiview learning. Regularised linear CCA methods can be seen to generalise Partial Least Squares (PL…
cs.LG2022★ 1 cited
A Generalized EigenGame with Extensions to Multiview Representation Learning
James Chapman, Ana Lawry Aguila, Lennie Wells
Generalized Eigenvalue Problems (GEPs) encompass a range of interesting dimensionality reduction methods. Development of efficient stochastic approaches to these problems would all…