Machine learning often includes secondary objectives, such as sparsity or robustness. To reach these objectives efficiently, the training of a neural network has been interpreted as the exploration of functionally invariant paths in the parameter space.
- Guruprasad Raghavan
- Bahey Tharwat
- Matt Thomson
