1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
PET-TURTLE: Deep Unsupervised Support Vector Machines for Imbalanced Data Clusters
Javier Salazar Cavazos
Foundation vision, audio, and language models enable zero-shot performance on downstream tasks via their latent representations. Recently, unsupervised learning of data group struc…
stat.ML2025
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data
Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano
Principal component analysis (PCA) is a key tool in the field of data dimensionality reduction. However, some applications involve heterogeneous data that vary in quality due to no…