CCA-Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic CCA methods in a scikit-learn style framework. - James Chapman 006; Hao-Ting Wang (J. Open Source Softw., 2021)

Conditional VAEs for Confound Removal and Normative Modelling of Neurodegenerative Diseases. - Ana Lawry Aguila; James Chapman 006; Mohammed Janahi; André Altmann (MICCAI (1), 2022)

A Generalized EigenGame with Extensions to Multiview Representation Learning. - James Chapman 006; Ana Lawry Aguila; Lennie Wells (CoRR, 2022)

Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities. - Ana Lawry Aguila; James Chapman 006; André Altmann (MICCAI (1), 2023)

Efficient Algorithms for the CCA Family: Unconstrained Objectives with Unbiased Gradients. - James Chapman 006; Ana Lawry Aguila; Lennie Wells (CoRR, 2023)

Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning. - James Chapman 006; Lennie Wells; Ana Lawry Aguila (ICLR, 2024)