1

Sparsity-aware generalization theory for deep neural networks

We show novel generalization bounds for deep neural networks that account for sparsity in intermediate layer activations of deep neural networks. Our analysis demonstrates fundamental trade-offs between sparsity and generalization.

Ramchandran Muthukumar, Jeremias Sulam

Sparsity-aware generalization theory for deep neural networks

Adversarial Robustness of Supervised Sparse Coding

Several recent results provide theoretical insights into the phenomena of adversarial examples. Existing results, however, are often …

Ramchandran Muthukumar, Jeremias Sulam