Preprint Open access
Specific Algorithmic Interpretability of Neural Networks: A Case Study on Textures
We develop a principled framework for constructing neural networks whose specific parameter realizations admit an explicit algorithmic interpretation. Existing algorithm-inspired architectures can explain the computational structure of a network, yet after standard training the learned parameters need not retain a clea …