2 papers
stat.ML2025
Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings
Brian B. Avants, Nicholas J. Tustison, James R Stone
Interpretable representation learning is a central challenge in modern machine learning, particularly in high-dimensional settings such as neuroimaging, genomics, and text analysis…
stat.ML2020
Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data
Brian B. Avants, Nicholas J. Tustison, James R. Stone
Similarity-driven multi-view linear reconstruction (SiMLR) is an algorithm that exploits inter-modality relationships to transform large scientific datasets into smaller, more well…