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.
Explainable AI in healthcare: a systematic review of XAI use cases in imaging, diagnostics, and rehabilitation.Frontiers in Artificial Intelligence, 9, April 2026
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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.