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  1. Oct 2023
  2. link.springer.com link.springer.com
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    1. mark.crowley 25 Oct 2023

      Chapter 21 "Adversarial Autonencoders" from our book "Elements of Dimensionality Reduction and Manifold Learning", Springer 2023.

      manifold-book manifold-learning dimensionality-reduction representation-learning autoencoders
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    link.springer.com/content/pdf/10.1007/978-3-031-10602-6_21.pdf
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    71652816875953.pdf
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    1. mark.crowley 25 Oct 2023

      Discussion of the paper:

      Ghojogh B, Ghodsi A, Karray F, Crowley M. Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. Proceedings of the Canadian Conference on Artificial Intelligence [Internet]. 2022 May 27; Available from: https://caiac.pubpub.org/pub/7eqtuyyc

      CanAI2022 dimensionality-reduction manifold-learning machine-learning university-waterloo
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    assets.pubpub.org/zbfq7fzb/71652816875953.pdf