Sparse autoencoders resolve superposition in image-based neural representations of neurons, recovering metric geometry and enabling de novo cross-modal alignment to scRNA-seq via Gromov-Wasserstein transport.
Missing data and technical variability in single-cell RNA-sequencing experiments.Biostatistics, 19(4):562–578, October 2018
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Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images
Sparse autoencoders resolve superposition in image-based neural representations of neurons, recovering metric geometry and enabling de novo cross-modal alignment to scRNA-seq via Gromov-Wasserstein transport.