LIVEJoin the current RTAI Connect sessionJoin now

ResearchTrend.AI
Approximation Theory of Convolutional Architectures for Time Series Modelling

Approximation Theory of Convolutional Architectures for Time Series Modelling

Haotian Jiang
Zhong Li
Qianxiao Li
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
58
10
0
03 Jan 2025
WaveGlow: A Flow-based Generative Network for Speech Synthesis
WaveGlow: A Flow-based Generative Network for Speech Synthesis
R. Prenger
Rafael Valle
Bryan Catanzaro
115
1,024
0
31 Oct 2018
Universality of Deep Convolutional Neural Networks
Universality of Deep Convolutional Neural Networks
Ding-Xuan Zhou
HAI
PINN
136
513
0
28 May 2018
Comparative Study of CNN and RNN for Natural Language Processing
Comparative Study of CNN and RNN for Natural Language Processing
Wenpeng Yin
Katharina Kann
Mo Yu
Hinrich Schütze
49
981
0
07 Feb 2017
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
225
7,361
0
12 Sep 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.