Search Results for author: Gautam Prakriya

Found 2 papers, 1 papers with code

A Quantitative Geometric Approach to Neural-Network Smoothness

1 code implementation2 Mar 2022 Zi Wang, Gautam Prakriya, Somesh Jha

In this work, we provide a unified theoretical framework, a quantitative geometric approach, to address the Lipschitz constant estimation.

Interval Universal Approximation for Neural Networks

no code implementations12 Jul 2020 Zi Wang, Aws Albarghouthi, Gautam Prakriya, Somesh Jha

This is a crucial question, as our constructive proof of IUA is exponential in the size of the approximation domain.

Cannot find the paper you are looking for? You can Submit a new open access paper.