3 citations · 3 across the 1 of their papers we have counts for
2 papers
stat.ML2024
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
Jiayu Su, David A. Knowles, Raul Rabadan
The success of machine learning models relies heavily on effectively representing high-dimensional data. However, ensuring data representations capture human-understandable concept…
cs.LG2024★ 3 cited
The VampPrior Mixture Model
Andrew A. Stirn, David A. Knowles
Widely used deep latent variable models (DLVMs), in particular Variational Autoencoders (VAEs), employ overly simplistic priors on the latent space. To achieve strong clustering pe…