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Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction
Our approach is benchmarked against standard pruning and least squares as well as deep learning methods.
Fast computation of permutation equivariant layers with the partition algebra
The space of permutation equivariant linear layers is a generalization of the partition algebra, an object first discovered in statistical physics with deep connections to the representation theory of the symmetric group, and the basis described above generalizes the so-called orbit basis of the partition algebra.
Renormalized Sparse Neural Network Pruning
We propose renormalizing sparse neural networks in order to improve accuracy.
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