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Universal Approximation of Input-Output Maps by Temporal Convolutional
  Nets
v1v2 (latest)

Universal Approximation of Input-Output Maps by Temporal Convolutional Nets

Neural Information Processing Systems (NeurIPS), 2019
21 June 2019
Joshua Hanson
Maxim Raginsky
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Universal Approximation of Input-Output Maps by Temporal Convolutional Nets"

4 / 4 papers shown
Theoretical Foundations of Deep Selective State-Space Models
Theoretical Foundations of Deep Selective State-Space Models
Nicola Muca Cirone
Antonio Orvieto
Benjamin Walker
C. Salvi
Terry Lyons
Mamba
740
68
0
29 Feb 2024
Universality and approximation bounds for echo state networks with
  random weights
Universality and approximation bounds for echo state networks with random weightsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zhen Li
Yunfei Yang
328
8
0
12 Jun 2022
Dimension reduction in recurrent networks by canonicalization
Dimension reduction in recurrent networks by canonicalizationThe Journal of Geometric Mechanics (J. Geom. Mech.), 2020
Lyudmila Grigoryeva
Juan-Pablo Ortega
304
23
0
23 Jul 2020
Temporal Information Processing on Noisy Quantum Computers
Temporal Information Processing on Noisy Quantum ComputersPhysical Review Applied (PR Applied), 2020
Jiayin Chen
H. Nurdin
N. Yamamoto
340
118
0
26 Jan 2020
1
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