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Minimal Width for Universal Property of Deep RNN

Minimal Width for Universal Property of Deep RNN

25 November 2022
Changhoon Song
Geonho Hwang
Jun ho Lee
Myung-joo Kang
ArXivPDFHTML

Papers citing "Minimal Width for Universal Property of Deep RNN"

8 / 8 papers shown
Title
Approximation Bounds for Transformer Networks with Application to Regression
Approximation Bounds for Transformer Networks with Application to Regression
Yuling Jiao
Yanming Lai
Defeng Sun
Yang Wang
Bokai Yan
29
0
0
16 Apr 2025
Deep Neural Networks: Multi-Classification and Universal Approximation
Deep Neural Networks: Multi-Classification and Universal Approximation
Martín Hernández
Enrique Zuazua
26
2
0
10 Sep 2024
Approximation Bounds for Recurrent Neural Networks with Application to
  Regression
Approximation Bounds for Recurrent Neural Networks with Application to Regression
Yuling Jiao
Yang Wang
Bokai Yan
23
1
0
09 Sep 2024
A Survey on Universal Approximation Theorems
A Survey on Universal Approximation Theorems
Midhun T. Augustine
23
3
0
17 Jul 2024
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of
  Experts
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
Anastasis Kratsios
Haitz Sáez de Ocáriz Borde
Takashi Furuya
Marc T. Law
MoE
41
1
0
05 Feb 2024
Minimum width for universal approximation using ReLU networks on compact
  domain
Minimum width for universal approximation using ReLU networks on compact domain
Namjun Kim
Chanho Min
Sejun Park
VLM
27
10
0
19 Sep 2023
Data Topology-Dependent Upper Bounds of Neural Network Widths
Data Topology-Dependent Upper Bounds of Neural Network Widths
Sangmin Lee
Jong Chul Ye
26
0
0
25 May 2023
A Brief Survey on the Approximation Theory for Sequence Modelling
A Brief Survey on the Approximation Theory for Sequence Modelling
Hao Jiang
Qianxiao Li
Zhong Li
Shida Wang
AI4TS
28
12
0
27 Feb 2023
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