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q-bio.GN2026
Integrating gene regulatory priors into Transformer attention with scTransformer for interpretable scRNA-seq analysis
Mikele Milia, Louis Fabrice Tshimanga, Henning Mueller +2
Motivation: Transformer-based models are increasingly applied to large-scale single-cell transcriptomics, showing strong performance through self-supervised learning on millions of…
cs.CV2026
Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentation
Louis Fabrice Tshimanga, Andrea Zanola, Federico Del Pup +1
We present Token-UNet, adopting the TokenLearner and TokenFuser modules to encase Transformers into UNets. While Transformers have enabled global interactions among input elements…