11 citations · 12 across the 4 of their papers we have counts for
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cs.LG2021
Depth separation beyond radial functions
Luca Venturi, Samy Jelassi, Tristan Ozuch +1
High-dimensional depth separation results for neural networks show that certain functions can be efficiently approximated by two-hidden-layer networks but not by one-hidden-layer o…
cs.LG2020
Diffusion-based Deep Active Learning
Dan Kushnir, Luca Venturi
The remarkable performance of deep neural networks depends on the availability of massive labeled data. To alleviate the load of data annotation, active deep learning aims to selec…
cs.LG2017★ 1 cited
Learning the Kernel for Classification and Regression
Chen Li, Luca Venturi, Ruitu Xu
We investigate a series of learning kernel problems with polynomial combinations of base kernels, which will help us solve regression and classification problems. We also perform s…