2024
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
NeurIPS 2024poster
The success of machine learning models relies heavily on effectively representing high-dimensional data. However, ensuring data representations capture human-understandable concepts remains difficult, often requiring the incorporation of prior knowledge and decomposition of data into multiple subspa…