Deep Neural Networks Learn Non-Smooth Functions Effectively

13 February 2018

Papers citing "Deep Neural Networks Learn Non-Smooth Functions Effectively"

29 / 29 papers shown

Title
Deep learning with missing data Tianyi Ma Tengyao Wang R. Samworth 69 0 0 21 Apr 2025
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning Yunzhe Zhou C. Shi Lexin Li Q. Yao AI4TS 38 8 0 30 May 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 37 1 0 24 Mar 2023
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions Ido Ben-Shaul Tomer Galanti S. Dekel 31 3 0 11 Jan 2023
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning Yang Xu C. Shi Shuang Luo Lan Wang R. Song OffRL 29 4 0 29 Dec 2022
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis Josip Jukić Jan Snajder 16 5 0 20 Dec 2022
Improving aircraft performance using machine learning: a review S. L. Clainche E. Ferrer Sam Gibson Elisabeth Cross A. Parente Ricardo Vinuesa AI4CE 49 93 0 20 Oct 2022
Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent Michael Kohler A. Krzyżak 32 10 0 04 Oct 2022
On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent Selina Drews Michael Kohler 30 14 0 30 Aug 2022
Optimal Convergence Rates of Deep Neural Networks in a Classification Setting Josephine T. Meyer 30 2 0 25 Jul 2022
On the inability of Gaussian process regression to optimally learn compositional functions M. Giordano Kolyan Ray Johannes Schmidt-Hieber 53 12 0 16 May 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation Jimmy Ba Murat A. Erdogdu Taiji Suzuki Zhichao Wang Denny Wu Greg Yang MLT 42 121 0 03 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 37 84 0 13 Apr 2022
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes M. Mowbray Dongda Zhang Ehecatl Antonio del Rio Chanona OffRL 25 6 0 01 Mar 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 32 4 0 07 Feb 2022
Interplay between depth of neural networks and locality of target functions Takashi Mori Masakuni Ueda 25 0 0 28 Jan 2022
On generalization bounds for deep networks based on loss surface implicit regularization Masaaki Imaizumi Johannes Schmidt-Hieber ODL 34 3 0 12 Jan 2022
Drift estimation for a multi-dimensional diffusion process using deep neural networks Akihiro Oga Yuta Koike DiffM 21 5 0 26 Dec 2021
Optimal learning of high-dimensional classification problems using deep neural networks P. Petersen F. Voigtlaender 33 10 0 23 Dec 2021
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks Rahul Parhi Robert D. Nowak 58 38 0 18 Sep 2021
Estimation of a regression function on a manifold by fully connected deep neural networks Michael Kohler S. Langer U. Reif 22 4 0 20 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
Expressivity of Deep Neural Networks Ingo Gühring Mones Raslan Gitta Kutyniok 21 51 0 09 Jul 2020
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks Kyungsu Kim A. Lozano Eunho Yang AAML 40 0 0 02 Jul 2020
Double Generative Adversarial Networks for Conditional Independence Testing C. Shi Tianlin Xu Wicher P. Bergsma Lexin Li 33 26 0 03 Jun 2020
Fractional Deep Neural Network via Constrained Optimization Harbir Antil R. Khatri R. Löhner Deepanshu Verma 30 29 0 01 Apr 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 41 183 0 22 Aug 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruosong Wang MLT 55 961 0 24 Jan 2019
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 577 0 27 Feb 2015