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Approximation Theory of Convolutional Architectures for Time Series
  Modelling

Approximation Theory of Convolutional Architectures for Time Series Modelling

20 July 2021
Haotian Jiang
Zhong Li
Qianxiao Li
    AI4TS
ArXivPDFHTML

Papers citing "Approximation Theory of Convolutional Architectures for Time Series Modelling"

5 / 5 papers shown
Title
Approximation Rate of the Transformer Architecture for Sequence Modeling
Approximation Rate of the Transformer Architecture for Sequence Modeling
Hao Jiang
Qianxiao Li
56
10
0
03 Jan 2025
Curriculum Design Helps Spiking Neural Networks to Classify Time Series
Curriculum Design Helps Spiking Neural Networks to Classify Time Series
Chenxi Sun
Hongyan Li
Moxian Song
Derun Can
linda Qiao
39
0
0
26 Dec 2023
Forward and Inverse Approximation Theory for Linear Temporal
  Convolutional Networks
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks
Hao Jiang
Qianxiao Li
AI4TS
29
0
0
29 May 2023
Theoretical Analysis of Inductive Biases in Deep Convolutional Networks
Theoretical Analysis of Inductive Biases in Deep Convolutional Networks
Zihao Wang
Lei Wu
28
20
0
15 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
35
12
0
27 Feb 2023
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