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Equivariant neural networks for recovery of Hadamard matrices
We propose a message passing neural network architecture designed to be equivariant to column and row permutations of a matrix.
Cost-based Feature Transfer for Vehicle Occupant Classification
Knowledge of human presence and interaction in a vehicle is of growing interest to vehicle manufacturers for design and safety purposes.
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