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Learning Recurrent Neural Net Models of Nonlinear Systems

Learning Recurrent Neural Net Models of Nonlinear Systems

18 November 2020
Joshua Hanson
Maxim Raginsky
Eduardo Sontag
ArXivPDFHTML

Papers citing "Learning Recurrent Neural Net Models of Nonlinear Systems"

2 / 2 papers shown
Title
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
Dániel Rácz
Mihaly Petreczky
Bálint Daróczy
98
1
0
30 May 2024
Deep Neural Networks for Estimation and Inference
Deep Neural Networks for Estimation and Inference
M. Farrell
Tengyuan Liang
S. Misra
BDL
176
254
0
26 Sep 2018
1