Uncovering Invariant Representations in Functional Neuroimaging with Deep Metric Learning
Arunesh Mittal, Xiaoxiao Sun, John William Paisley, Paul Sajda
This paper introduces a metric learning framework for fMRI data to extract low-dimensional latent structures that reduce intra-group variability and maximize inter-group variability, achieving better performance than PCA on benchmark datasets.
bioRxiv · Sep 17, 2023 · PreprintBioinformatics