Many matrices associated with fast transforms posess a certain low-rank
...
This article measures how sparsity can make neural networks more robust ...
This article measures how sparsity can make neural networks more robust ...
A major paradigm for learning image representations in a self-supervised...
Sparse matrix factorization is the problem of approximating a matrix Z b...
Many well-known matrices Z are associated to fast transforms correspondi...