A unifying representer theorem for inverse problems and machine learning

2 March 2019

Papers citing "A unifying representer theorem for inverse problems and machine learning"

6 / 6 papers shown

Title
The Effects of Multi-Task Learning on ReLU Neural Network Functions Julia B. Nakhleh Joseph Shenouda Robert D. Nowak 39 1 0 29 Oct 2024
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models Jeremy E. Cohen Valentin Leplat 63 1 0 27 Mar 2024
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities Rahul Parhi Michael Unser 49 5 0 05 Oct 2023
Stability of Image-Reconstruction Algorithms Pol del Aguila Pla Sebastian Neumayer M. Unser 8 10 0 14 Jun 2022
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory Rahul Parhi Robert D. Nowak MLT 38 70 0 07 May 2021
Two-layer neural networks with values in a Banach space Yury Korolev 29 23 0 05 May 2021