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Found 2 papers, 1 papers with code
GeometricImageNet: Extending convolutional neural networks to vector and tensor images
We use representation theory to quantify the dimension of the space of equivariant polynomial functions on 2-dimensional vector images.
MarkerMap: nonlinear marker selection for single-cell studies
Single-cell RNA-seq data allow the quantification of cell type differences across a growing set of biological contexts.
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