Besov Function Approximation and Binary Classification on
Low-Dimensional Manifolds Using Convolutional Residual Networks

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Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks

7 September 2021

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Papers citing "Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks"

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Title
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods Zhaiming Shen Alexander Hsu Rongjie Lai Wenjing Liao MLT 119 1 0 12 Jun 2025
Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights Zhaiming Shen Alex Havrilla Rongjie Lai A. Cloninger Wenjing Liao 92 1 0 06 May 2025
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs Ke Chen Chunmei Wang Haizhao Yang AI4CE 64 14 0 28 Jan 2023
Approximation analysis of CNNs from a feature extraction view Jianfei Li Han Feng Ding-Xuan Zhou 77 3 0 14 Oct 2022
Analysis of convolutional neural network image classifiers in a rotationally symmetric model Michael Kohler Benjamin Kohler 57 5 0 11 May 2022
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive? Kaiqi Zhang Yu Wang 116 12 0 20 Apr 2022
Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space Juncai He R. Tsai Rachel A. Ward 82 9 0 01 Mar 2022