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
New universal operator approximation theorem for encoder-decoder architectures (Preprint)
Janek Gödeke
Pascal Fernsel
215
1
0
31 Mar 2025
An extension of linear self-attention for in-context learning
Katsuyuki Hagiwara
245
0
0
31 Mar 2025
Feature Qualification by Deep Nets: A Constructive Approach
Feilong Cao
Shao-Bo Lin
MLT
180
0
0
24 Mar 2025
Theory-to-Practice Gap for Neural Networks and Neural Operators
Philipp Grohs
S. Lanthaler
Margaret Trautner
278
4
0
23 Mar 2025
Approximation properties of neural ODEs
Arturo De Marinis
Davide Murari
E. Celledoni
Nicola Guglielmi
B. Owren
Francesco Tudisco
247
3
0
19 Mar 2025
Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data
Sehwan Kim
Rui Wang
Wenbin Lu
196
0
0
13 Mar 2025
Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration
Emily C. Ehrhardt
Hanno Gottschalk
Tobias Riedlinger
219
1
0
13 Mar 2025
Fourier Multi-Component and Multi-Layer Neural Networks: Unlocking High-Frequency Potential
Shijun Zhang
Hongkai Zhao
Yimin Zhong
Haomin Zhou
324
1
0
26 Feb 2025
Curse of Dimensionality in Neural Network Optimization
Sanghoon Na
Haizhao Yang
343
0
0
07 Feb 2025
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces
Yuwen Li
Guozhi Zhang
359
2
0
20 Jan 2025
Deep Partially Linear Transformation Model for Right-Censored Survival Data
Junkai Yin
Yue Zhang
Zhangsheng Yu
477
1
0
10 Dec 2024
Can neural operators always be continuously discretized?
Neural Information Processing Systems (NeurIPS), 2024
Takashi Furuya
Michael Puthawala
Maarten V. de Hoop
Matti Lassas
290
1
0
04 Dec 2024
Theoretical limitations of multi-layer Transformer
Lijie Chen
Binghui Peng
Hongxun Wu
AI4CE
480
23
0
04 Dec 2024
A Data-Driven Modeling and Motion Control of Heavy-Load Hydraulic Manipulators via Reversible Transformation
Dexian Ma
Y. Liu
Wenbo Liu
Bo Zhou
AI4CE
142
1
0
21 Nov 2024
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
Neural Information Processing Systems (NeurIPS), 2024
Alex Havrilla
Wenjing Liao
262
20
0
11 Nov 2024
Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression
Yingzhen Yang
Ping Li
MLT
598
1
0
05 Nov 2024
When can classical neural networks represent quantum states?
Tai-Hsuan Yang
Mehdi Soleimanifar
Thiago Bergamaschi
J. Preskill
227
19
0
30 Oct 2024
Computable Lipschitz Bounds for Deep Neural Networks
Moreno Pintore
Bruno Després
354
1
0
28 Oct 2024
LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT
Journal of Mathematical Imaging and Vision (JMIV), 2024
Chi-Jiao Ding
Qingchao Zhang
Ge Wang
X. Ye
Yunmei Chen
202
0
0
28 Oct 2024
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data
Saptarshi Chakraborty
Peter L. Bartlett
FedML
352
1
0
28 Oct 2024
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
Suqi Liu
Tianxi Cai
Xiaoou Li
218
2
0
09 Oct 2024
CAPEEN: Image Captioning with Early Exits and Knowledge Distillation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Divya J. Bajpai
M. Hanawal
VLM
213
10
0
06 Oct 2024
Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks
Tianchi Yu
Jingwei Qiu
Jiang Yang
Ivan Oseledets
195
4
0
05 Oct 2024
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
International Conference on Learning Representations (ICLR), 2024
Hyunwoo Lee
Hayoung Choi
Hyunju Kim
210
5
0
03 Oct 2024
On the expressiveness and spectral bias of KANs
International Conference on Learning Representations (ICLR), 2024
Yixuan Wang
Jonathan W. Siegel
Ziming Liu
Thomas Y. Hou
402
40
0
02 Oct 2024
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
Shivam Kumar
Yun Yang
Lizhen Lin
266
1
0
02 Oct 2024
Structure-Preserving Operator Learning
Nacime Bouziani
Nicolas Boullé
209
4
0
01 Oct 2024
Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study
Hao Liu
Zecheng Zhang
Wenjing Liao
Hayden Schaeffer
329
6
0
01 Oct 2024
Cauchy activation function and XNet
Neural Networks (NN), 2024
Xin Li
Zhihong Xia
Hongkun Zhang
381
9
0
28 Sep 2024
On the Power of Decision Trees in Auto-Regressive Language Modeling
Neural Information Processing Systems (NeurIPS), 2024
Yulu Gan
Tomer Galanti
T. Poggio
Eran Malach
AI4CE
130
1
0
27 Sep 2024
Component-based Sketching for Deep ReLU Nets
Di Wang
Shao-Bo Lin
Deyu Meng
Feilong Cao
176
1
0
21 Sep 2024
Approximation Bounds for Recurrent Neural Networks with Application to Regression
Yuling Jiao
Yang Wang
Bokai Yan
256
1
0
09 Sep 2024
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks
Applied and Computational Harmonic Analysis (ACHA), 2024
Yunfei Yang
396
5
0
02 Sep 2024
A Statistical Framework for Data-dependent Retrieval-Augmented Models
International Conference on Machine Learning (ICML), 2024
Soumya Basu
A. S. Rawat
Manzil Zaheer
RALM
283
2
0
27 Aug 2024
Transformers are Minimax Optimal Nonparametric In-Context Learners
Neural Information Processing Systems (NeurIPS), 2024
Juno Kim
Tai Nakamaki
Taiji Suzuki
334
28
0
22 Aug 2024
Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements
Janina Enrica Schutte
Martin Eigel
AI4CE
193
1
0
20 Aug 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Hong Ye Tan
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
321
0
0
13 Aug 2024
Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks
Jianfei Li
Han Feng
Ding-Xuan Zhou
329
3
0
10 Aug 2024
Transformers are Universal In-context Learners
International Conference on Learning Representations (ICLR), 2024
Takashi Furuya
Maarten V. de Hoop
Gabriel Peyré
292
22
0
02 Aug 2024
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences
Runpeng Dai
Jianing Wang
Fan Zhou
Shuang Luo
Zhiwei Qin
Chengchun Shi
Hongtu Zhu
CML
OffRL
218
2
0
25 Jul 2024
Time Series Generative Learning with Application to Brain Imaging Analysis
Zhenghao Li
Sanyou Wu
Long Feng
MedIm
227
0
0
19 Jul 2024
Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation
Luwei Sun
Dongrui Shen
Han Feng
428
4
0
16 Jul 2024
Causal inference through multi-stage learning and doubly robust deep neural networks
Yuqian Zhang
Jelena Bradic
OOD
CML
244
2
0
11 Jul 2024
Stochastic Gradient Descent for Two-layer Neural Networks
Dinghao Cao
Zheng-Chu Guo
Lei Shi
MLT
229
1
0
10 Jul 2024
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Simone Appella
S. Arridge
Chris Budd
Teo Deveney
L. Kreusser
232
1
0
02 Jul 2024
Neural Networks Trained by Weight Permutation are Universal Approximators
Yongqiang Cai
Gaohang Chen
Zhonghua Qiao
537
2
0
01 Jul 2024
Structured and Balanced Multi-Component and Multi-Layer Neural Networks
Shijun Zhang
Hongkai Zhao
Yimin Zhong
Haomin Zhou
380
6
0
30 Jun 2024
BrowNNe: Brownian Nonlocal Neurons & Activation Functions
Sriram Nagaraj
Truman Hickok
151
0
0
21 Jun 2024
On the estimation rate of Bayesian PINN for inverse problems
Yi Sun
Debarghya Mukherjee
Yves Atchadé
PINN
291
1
0
21 Jun 2024
GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks
Fan Zhang
Xin Zhang
325
46
0
19 Jun 2024
Previous
1
2
3
4
5
...
11
12
13
Next
Page 2 of 13
Page
of 13
Go