EFFICIENT APPROXIMATION OF DEEP RELU NETWORKS FOR FUNCTIONS ON LOW DIMENSIONAL MANIFOLDS

von Chen, Minshuo
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

BESOV FUNCTION APPROXIMATION AND BINARY CLASSIFICATION ON LOW-DIMENSIONAL MANIFOLDS USING CONVOLUTIONAL RESIDUAL NETWORKS

von LIU, HAO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 9 of 16 (2022)

On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds

von Dahal, Biraj
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (2023)

Benefits of Overparameterized Convolutional Residual Networks: Function Approximation Under Smoothness Constraint

von Liu, Hao
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 17 of 33 (2023)