Sample complexity and effective dimension for regression on manifolds

13 June 2020

Papers citing "Sample complexity and effective dimension for regression on manifolds"

6 / 6 papers shown

Title
Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy Sunshine Jiang William Yue Jaedong Hwang Abhiram Iyer Ila Fiete OOD 57 2 0 09 Sep 2024
Spectral Algorithms on Manifolds through Diffusion Weichun Xia Lei Shi 29 1 0 06 Mar 2024
Model-agnostic Measure of Generalization Difficulty Akhilan Boopathy Kevin Liu Jaedong Hwang Shu Ge Asaad Mohammedsaleh Ila Fiete 83 4 0 01 May 2023
Deep Networks Provably Classify Data on Curves Tingran Wang Sam Buchanan D. Gilboa John N. Wright 25 9 0 29 Jul 2021
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 94 271 0 24 Feb 2014