Universality of Deep Convolutional Neural Networks

28 May 2018

Papers citing "Universality of Deep Convolutional Neural Networks"

50 / 57 papers shown

Title
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition Nathanael Tepakbong Ding-Xuan Zhou Xiang Zhou 46 0 0 13 May 2025
Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights Zhaiming Shen Alex Havrilla Rongjie Lai A. Cloninger Wenjing Liao 39 0 0 06 May 2025
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces Yuwen Li Guozhi Zhang 46 1 0 20 Jan 2025
NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets Yunqi Cai Jiangnan Li Dong Wang OOD AI4CE 28 0 0 19 Oct 2024
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures Jorge F. Silva Victor Faraggi Camilo Ramírez Álvaro F. Egaña Eduardo Pavez 25 1 0 30 May 2024
Nonlinear functional regression by functional deep neural network with kernel embedding Zhongjie Shi Jun Fan Linhao Song Ding-Xuan Zhou Johan A. K. Suykens 65 5 0 05 Jan 2024
Double-well Net for Image Segmentation Haotian Liu Jun Liu Raymond H. F. Chan Xue-Cheng Tai 52 7 0 31 Dec 2023
Expressivity and Approximation Properties of Deep Neural Networks with ReLU $^k$ Activation Juncai He Tong Mao Jinchao Xu 43 3 0 27 Dec 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 30 15 0 04 Oct 2023
Multi-Grade Deep Learning for Partial Differential Equations with Applications to the Burgers Equation Yuesheng Xu Taishan Zeng AI4CE 32 4 0 14 Sep 2023
Rates of Approximation by ReLU Shallow Neural Networks Tong Mao Ding-Xuan Zhou 29 19 0 24 Jul 2023
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks X. Tai Hao Liu Raymond H. F. Chan 41 10 0 18 Jul 2023
Statistical Guarantees of Group-Invariant GANs Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Wei-wei Zhu 50 2 0 22 May 2023
Understanding the Initial Condensation of Convolutional Neural Networks Zhangchen Zhou Hanxu Zhou Yuqing Li Zhi-Qin John Xu MLT AI4CE 26 5 0 17 May 2023
Theoretical Analysis of Inductive Biases in Deep Convolutional Networks Zihao Wang Lei Wu 25 20 0 15 May 2023
Approximation of Nonlinear Functionals Using Deep ReLU Networks Linhao Song Jun Fan Dirong Chen Ding-Xuan Zhou 15 14 0 10 Apr 2023
A Brief Survey on the Approximation Theory for Sequence Modelling Hao Jiang Qianxiao Li Zhong Li Shida Wang AI4TS 30 12 0 27 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 34 3 0 02 Feb 2023
Convolutional neural networks for valid and efficient causal inference Mohammad Ghasempour Niloofar Moosavi X. de Luna CML 35 2 0 27 Jan 2023
Selected aspects of complex, hypercomplex and fuzzy neural networks A. Niemczynowicz R. Kycia Maciej Jaworski A. Siemaszko J. Calabuig ... Baruch Schneider Diana Berseghyan Irina Perfiljeva V. Novák Piotr Artiemjew 27 0 0 29 Dec 2022
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 25 7 0 18 Dec 2022
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems Derick Nganyu Tanyu Jianfeng Ning Tom Freudenberg Nick Heilenkötter A. Rademacher U. Iben Peter Maass AI4CE 23 34 0 06 Dec 2022
LU decomposition and Toeplitz decomposition of a neural network Yucong Liu Simiao Jiao Lek-Heng Lim 30 7 0 25 Nov 2022
Minimal Width for Universal Property of Deep RNN Changhoon Song Geonho Hwang Jun ho Lee Myung-joo Kang 25 9 0 25 Nov 2022
Comparison of two artificial neural networks trained for the surrogate modeling of stress in materially heterogeneous elastoplastic solids S. Kapoor J. Mianroodi M. S. Khorrami Nima S. Siboni Bob Svendsen 33 4 0 31 Oct 2022
On the Approximation and Complexity of Deep Neural Networks to Invariant Functions Gao Zhang Jin-Hui Wu Shao-Qun Zhang 16 0 0 27 Oct 2022
Approximation analysis of CNNs from a feature extraction view Jianfei Li Han Feng Ding-Xuan Zhou 24 3 0 14 Oct 2022
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems Qianxiao Li T. Lin Zuowei Shen 24 6 0 18 Aug 2022
Convergence of Deep Neural Networks with General Activation Functions and Pooling Wentao Huang Yuesheng Xu Haizhang Zhang MLT AI4CE 23 0 0 13 May 2022
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice Peihao Wang Wenqing Zheng Tianlong Chen Zhangyang Wang ViT 33 127 0 09 Mar 2022
Deep Layer-wise Networks Have Closed-Form Weights Chieh-Tsai Wu A. Masoomi Arthur Gretton Jennifer Dy 29 3 0 01 Feb 2022
Deep Network Approximation in Terms of Intrinsic Parameters Zuowei Shen Haizhao Yang Shijun Zhang 21 9 0 15 Nov 2021
Lattice gauge symmetry in neural networks Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 18 0 0 08 Nov 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances Shibo Zhang Yaxuan Li Shen Zhang Farzad Shahabi S. Xia Yuanbei Deng N. Alshurafa BDL 23 295 0 31 Oct 2021
Convergence of Deep Convolutional Neural Networks Yuesheng Xu Haizhang Zhang MLT 40 44 0 28 Sep 2021
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications Joshua Bowren FAtt 32 1 0 14 Aug 2021
The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective Mathias Unberath Cong Gao Yicheng Hu Max Judish Russell H. Taylor Mehran Armand Robert Grupp 29 66 0 04 Aug 2021
Convergence of Deep ReLU Networks Yuesheng Xu Haizhang Zhang 37 27 0 27 Jul 2021
Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions Tong Mao Zhongjie Shi Ding-Xuan Zhou 16 33 0 02 Jul 2021
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks S. K. Roy Mercedes Eugenia Paoletti J. Haut S. Dubey Purushottam Kar A. Plaza B. B. Chaudhuri ODL 27 18 0 21 May 2021
Learning optimal multigrid smoothers via neural networks Ru Huang Ruipeng Li Yuanzhe Xi AI4CE 18 27 0 24 Feb 2021
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 19 32 0 08 Feb 2021
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks Shiwei Lan Shuyi Li Babak Shahbaba UQCV BDL 25 16 0 11 Jan 2021
Lattice gauge equivariant convolutional neural networks Matteo Favoni A. Ipp David I. Müller Daniel Schuh 10 45 0 23 Dec 2020
The universal approximation theorem for complex-valued neural networks F. Voigtlaender 27 62 0 06 Dec 2020
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 16 188 0 03 Nov 2020
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks Jonathan Ashbrock A. Powell MQ 30 5 0 25 Aug 2020
Expressivity of Deep Neural Networks Ingo Gühring Mones Raslan Gitta Kutyniok 16 51 0 09 Jul 2020
Neural Ordinary Differential Equation Control of Dynamics on Graphs Thomas Asikis Lucas Böttcher Nino Antulov-Fantulin 33 43 0 17 Jun 2020
Deep Network Approximation for Smooth Functions Jianfeng Lu Zuowei Shen Haizhao Yang Shijun Zhang 67 247 0 09 Jan 2020