Search Results for author: Guergana Petrova

Found 2 papers, 0 papers with code

Optimal Learning

no code implementations30 Mar 2022 Peter Binev, Andrea Bonito, Ronald DeVore, Guergana Petrova

The learning problem is to give an approximation $\hat f$ to $f$ that predicts the values of $f$ away from the data.

Neural Network Approximation of Refinable Functions

no code implementations28 Jul 2021 Ingrid Daubechies, Ronald DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober

Namely, we show that refinable functions are approximated by the outputs of deep ReLU networks with a fixed width and increasing depth with accuracy exponential in terms of their number of parameters.

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