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Structured state-space models are deep Wiener models

Structured state-space models are deep Wiener models

11 December 2023
Fabio Bonassi
Carl R. Andersson
Per Mattsson
Thomas B. Schön
ArXivPDFHTML

Papers citing "Structured state-space models are deep Wiener models"

6 / 6 papers shown
Title
Nonlinear MPC design for incrementally ISS systems with application to
  GRU networks
Nonlinear MPC design for incrementally ISS systems with application to GRU networks
Fabio Bonassi
A. L. Bella
M. Farina
R. Scattolini
29
16
0
28 Sep 2023
Resurrecting Recurrent Neural Networks for Long Sequences
Resurrecting Recurrent Neural Networks for Long Sequences
Antonio Orvieto
Samuel L. Smith
Albert Gu
Anushan Fernando
Çağlar Gülçehre
Razvan Pascanu
Soham De
279
287
0
11 Mar 2023
On the Parameterization and Initialization of Diagonal State Space
  Models
On the Parameterization and Initialization of Diagonal State Space Models
Albert Gu
Ankit Gupta
Karan Goel
Christopher Ré
71
314
0
23 Jun 2022
Diagonal State Spaces are as Effective as Structured State Spaces
Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta
Albert Gu
Jonathan Berant
105
305
0
27 Mar 2022
HiPPO: Recurrent Memory with Optimal Polynomial Projections
HiPPO: Recurrent Memory with Optimal Polynomial Projections
Albert Gu
Tri Dao
Stefano Ermon
Atri Rudra
Christopher Ré
106
512
0
17 Aug 2020
dynoNet: a neural network architecture for learning dynamical systems
dynoNet: a neural network architecture for learning dynamical systems
Marco Forgione
Dario Piga
AI4CE
23
43
0
03 Jun 2020
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