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Found 2 papers, 1 papers with code
A path-norm toolkit for modern networks: consequences, promises and challenges
The versatility of the toolkit and its ease of implementation allow us to challenge the concrete promises of path-norm-based generalization bounds, by numerically evaluating the sharpest known bounds for ResNets on ImageNet.
Approximation speed of quantized vs. unquantized ReLU neural networks and beyond
This is achieved using a new lower-bound on the Lipschitz constant of the map that associates the parameters of ReLU networks to their realization, and an upper-bound generalizing classical results.
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