Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1610.01145
Cited By
v1
v2
v3 (latest)
Error bounds for approximations with deep ReLU networks
3 October 2016
Dmitry Yarotsky
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Error bounds for approximations with deep ReLU networks"
50 / 633 papers shown
Asymptotic Properties for Bayesian Neural Network in Besov Space
Neural Information Processing Systems (NeurIPS), 2022
Kyeongwon Lee
Jaeyong Lee
BDL
245
5
0
01 Jun 2022
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks
Neural Networks (NN), 2022
Hao Chen
Yu Wang
Huan Xiong
GNN
214
6
0
01 Jun 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
Neural Information Processing Systems (NeurIPS), 2022
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
175
12
0
30 May 2022
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model
Jun Yu Li
Dongxiao Zhang
Tianhao He
Q. Zheng
AI4CE
229
13
0
28 May 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Neural Information Processing Systems (NeurIPS), 2022
Binghui Li
Jikai Jin
Han Zhong
John E. Hopcroft
Liwei Wang
OOD
299
33
0
27 May 2022
Approximation speed of quantized vs. unquantized ReLU neural networks and beyond
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Antoine Gonon
Nicolas Brisebarre
Rémi Gribonval
E. Riccietti
156
8
0
24 May 2022
Variable-Input Deep Operator Networks
Michael Prasthofer
Tim De Ryck
Siddhartha Mishra
197
27
0
23 May 2022
Generic bounds on the approximation error for physics-informed (and) operator learning
Neural Information Processing Systems (NeurIPS), 2022
Tim De Ryck
Siddhartha Mishra
PINN
306
74
0
23 May 2022
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Nathan Kallus
Miruna Oprescu
OOD
CML
398
17
0
23 May 2022
CNNs Avoid Curse of Dimensionality by Learning on Patches
IEEE Open Journal of Signal Processing (JOSP), 2022
Vamshi C. Madala
S. Chandrasekaran
Jason Bunk
UQCV
352
6
0
22 May 2022
Neural Network Architecture Beyond Width and Depth
Neural Information Processing Systems (NeurIPS), 2022
Zuowei Shen
Haizhao Yang
Shijun Zhang
3DV
MDE
491
20
0
19 May 2022
Bagged Polynomial Regression and Neural Networks
Sylvia Klosin
Jaume Vives-i-Bastida
90
0
0
17 May 2022
Deep Neural Network Classifier for Multi-dimensional Functional Data
Scandinavian Journal of Statistics (Scand. J. Stat.), 2022
Shuoyang Wang
Guanqun Cao
Zuofeng Shang
198
14
0
17 May 2022
On the inability of Gaussian process regression to optimally learn compositional functions
Neural Information Processing Systems (NeurIPS), 2022
M. Giordano
Kolyan Ray
Johannes Schmidt-Hieber
339
17
0
16 May 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Science Robotics (Sci. Robot.), 2022
Michael O'Connell
Guanya Shi
Xichen Shi
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
423
248
0
13 May 2022
Convergence Analysis of Deep Residual Networks
Analysis and Applications (Anal. Appl.), 2022
Wentao Huang
Haizhang Zhang
170
1
0
13 May 2022
Convergence of Deep Neural Networks with General Activation Functions and Pooling
Wentao Huang
Yuesheng Xu
Haizhang Zhang
MLT
AI4CE
206
0
0
13 May 2022
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks
Information and Inference A Journal of the IMA (JIII), 2022
Jie Wang
Minshuo Chen
Tuo Zhao
Wenjing Liao
Yao Xie
231
8
0
04 May 2022
A PAC-Bayes oracle inequality for sparse neural networks
Maximilian F. Steffen
Mathias Trabs
UQCV
210
3
0
26 Apr 2022
Do ReLU Networks Have An Edge When Approximating Compactly-Supported Functions?
Anastasis Kratsios
Behnoosh Zamanlooy
MLT
252
5
0
24 Apr 2022
Adversarial Estimators
Jonas Metzger
AAML
261
2
0
22 Apr 2022
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
International Conference on Learning Representations (ICLR), 2022
Kaiqi Zhang
Yu Wang
379
12
0
20 Apr 2022
Training Fully Connected Neural Networks is
∃
R
\exists\mathbb{R}
∃
R
-Complete
Neural Information Processing Systems (NeurIPS), 2022
Daniel Bertschinger
Christoph Hertrich
Paul Jungeblut
Tillmann Miltzow
Simon Weber
OffRL
340
35
0
04 Apr 2022
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Computational Mechanics (Comput. Mech.), 2022
Subhayan De
Matthew J. Reynolds
M. Hassanaly
Ryan N. King
Alireza Doostan
AI4CE
237
43
0
03 Apr 2022
Qualitative neural network approximation over R and C: Elementary proofs for analytic and polynomial activation
Josiah Park
Stephan Wojtowytsch
226
3
0
25 Mar 2022
How do noise tails impact on deep ReLU networks?
Annals of Statistics (Ann. Stat.), 2022
Jianqing Fan
Yihong Gu
Wen-Xin Zhou
ODL
353
23
0
20 Mar 2022
The Mathematics of Artificial Intelligence
Gitta Kutyniok
173
0
0
16 Mar 2022
Solving parametric partial differential equations with deep rectified quadratic unit neural networks
Journal of Scientific Computing (J. Sci. Comput.), 2022
Zhen Lei
Lei Shi
Chenyu Zeng
173
10
0
14 Mar 2022
IAE-Net: Integral Autoencoders for Discretization-Invariant Learning
Yong Zheng Ong
Zuowei Shen
Haizhao Yang
320
18
0
10 Mar 2022
Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space
Research in the Mathematical Sciences (Res. Math. Sci.), 2022
Juncai He
R. Tsai
Rachel A. Ward
574
9
0
01 Mar 2022
Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions
Zhiying Fang
Guang Cheng
MLT
203
6
0
24 Feb 2022
Width is Less Important than Depth in ReLU Neural Networks
Annual Conference Computational Learning Theory (COLT), 2022
Gal Vardi
Gilad Yehudai
Ohad Shamir
3DV
173
12
0
08 Feb 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
Journal of the Korean Statistical Society (JKSS), 2022
Minwoo Chae
GAN
284
5
0
07 Feb 2022
Interplay between depth of neural networks and locality of target functions
Takashi Mori
Masakuni Ueda
156
0
0
28 Jan 2022
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models
Federico Fatone
S. Fresca
Andrea Manzoni
AI4TS
133
19
0
25 Jan 2022
Approximation bounds for norm constrained neural networks with applications to regression and GANs
Applied and Computational Harmonic Analysis (ACHA), 2022
Yuling Jiao
Yang Wang
Yunfei Yang
233
26
0
24 Jan 2022
Theoretical Exploration of Solutions of Feedforward ReLU Networks
Changcun Huang
352
4
0
24 Jan 2022
Learning Neural Ranking Models Online from Implicit User Feedback
The Web Conference (WWW), 2022
Yiling Jia
Hongning Wang
173
6
0
17 Jan 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
Journal of Scientific Computing (J. Sci. Comput.), 2022
S. Cuomo
Vincenzo Schiano Di Cola
F. Giampaolo
G. Rozza
Maizar Raissi
F. Piccialli
PINN
508
1,893
0
14 Jan 2022
De Rham compatible Deep Neural Network FEM
Neural Networks (NN), 2022
M. Longo
J. Opschoor
Sinyoung Ra
Christoph Schwab
Jakob Zech
211
9
0
14 Jan 2022
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces
Journal of machine learning research (JMLR), 2022
Hao Liu
Haizhao Yang
Minshuo Chen
T. Zhao
Wenjing Liao
429
54
0
01 Jan 2022
A Unified and Constructive Framework for the Universality of Neural Networks
Social Science Research Network (SSRN), 2021
T. Bui-Thanh
214
7
0
30 Dec 2021
Risk bounds for aggregated shallow neural networks using Gaussian prior
Annual Conference Computational Learning Theory (COLT), 2021
L. Tinsi
A. Dalalyan
BDL
303
8
0
21 Dec 2021
Integral representations of shallow neural network with Rectified Power Unit activation function
Neural Networks (NN), 2021
Ahmed Abdeljawad
Philipp Grohs
127
13
0
20 Dec 2021
Wasserstein Generative Learning of Conditional Distribution
Shiao Liu
Xingyu Zhou
Yuling Jiao
Jian Huang
GAN
141
23
0
19 Dec 2021
Approximation of functions with one-bit neural networks
C. S. Güntürk
Weilin Li
168
11
0
16 Dec 2021
Depth Refinement for Improved Stereo Reconstruction
Amit Bracha
Noam Rotstein
David Bensaid
Ron Slossberg
Ron Kimmel
3DV
MDE
135
1
0
15 Dec 2021
Generative Modeling of Turbulence
The Physics of Fluids (Phys. Fluids), 2021
Claudia Drygala
Benjamin Winhart
F. Mare
Hanno Gottschalk
GAN
AI4CE
191
45
0
05 Dec 2021
Optimization-Based Separations for Neural Networks
Annual Conference Computational Learning Theory (COLT), 2021
Itay Safran
Jason D. Lee
736
17
0
04 Dec 2021
Deep Policy Iteration with Integer Programming for Inventory Management
Manufacturing & Service Operations Management (M&SOM), 2021
Pavithra Harsha
A. Jagmohan
Jayant Kalagnanam
Brian Quanz
Divya Singhvi
229
6
0
04 Dec 2021
Previous
1
2
3
...
6
7
8
...
11
12
13
Next
Page 7 of 13
Page
of 13
Go