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Ana Lawry Aguila
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2020 – today
- 2024
- [c3]James Chapman, Lennie Wells, Ana Lawry Aguila:
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning. ICLR 2024 - [i6]Ana Lawry Aguila, André Altmann:
A tutorial on multi-view autoencoders using the multi-view-AE library. CoRR abs/2403.07456 (2024) - [i5]Ayodeji Ijishakin, Ana Lawry Aguila, Elizabeth Levitis, Ahmed Abdulaal, André Altmann, James Cole:
Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging Data. CoRR abs/2408.15890 (2024) - 2023
- [j1]Ana Lawry Aguila, Alejandra Jayme, Nina Montaña Brown, Vincent Heuveline, André Altmann:
Multi-view-AE: A Python package for multi-view autoencoder models. J. Open Source Softw. 8(86): 5093 (2023) - [c2]Ana Lawry Aguila, James Chapman, André Altmann:
Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities. MICCAI (1) 2023: 425-434 - [i4]Ana Lawry Aguila, James Chapman, André Altmann:
Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities. CoRR abs/2303.12706 (2023) - [i3]André Altmann, Ana C. Lawry Aguila, Neda Jahanshad, Paul M. Thompson, Marco Lorenzi:
Tackling the dimensions in imaging genetics with CLUB-PLS. CoRR abs/2309.07352 (2023) - [i2]James Chapman, Ana Lawry Aguila, Lennie Wells:
Efficient Algorithms for the CCA Family: Unconstrained Objectives with Unbiased Gradients. CoRR abs/2310.01012 (2023) - 2022
- [c1]Ana Lawry Aguila, James Chapman, Mohammed Janahi, André Altmann:
Conditional VAEs for Confound Removal and Normative Modelling of Neurodegenerative Diseases. MICCAI (1) 2022: 430-440 - [i1]James Chapman, Ana Lawry Aguila, Lennie Wells:
A Generalized EigenGame with Extensions to Multiview Representation Learning. CoRR abs/2211.11323 (2022)
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last updated on 2024-09-30 00:59 CEST by the dblp team
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