Abstract: Deep learning models rely heavily on matrix multiplication, which is computationally expensive and memory-intensive. Sparse matrices, which contain a high proportion of zero elements, offer ...

"Sparse coding consists in representing signals as sparse linear combinations of atoms selected from a dictionary. We consider an extension of this framework where the atoms are further assumed to be ...

import scipy.sparse import scipy.sparse.linalg from flax import struct from enum import Enum, auto from dataclasses import dataclass from typing import Any, Callable, Optional from functools import ...