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Metric Entropy Limits on Recurrent Neural Network Learning of Linear
  Dynamical Systems

Metric Entropy Limits on Recurrent Neural Network Learning of Linear Dynamical Systems

6 May 2021
Clemens Hutter
R. Gül
Helmut Bölcskei
ArXivPDFHTML

Papers citing "Metric Entropy Limits on Recurrent Neural Network Learning of Linear Dynamical Systems"

4 / 4 papers shown
Title
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of
  Experts
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
Anastasis Kratsios
Haitz Sáez de Ocáriz Borde
Takashi Furuya
Marc T. Law
MoE
28
1
0
05 Feb 2024
Partial Differential Equations Meet Deep Neural Networks: A Survey
Partial Differential Equations Meet Deep Neural Networks: A Survey
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CE
AIMat
24
17
0
27 Oct 2022
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Luca Galimberti
Anastasis Kratsios
Giulia Livieri
OOD
13
14
0
24 Oct 2022
Designing Universal Causal Deep Learning Models: The Geometric
  (Hyper)Transformer
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer
Beatrice Acciaio
Anastasis Kratsios
G. Pammer
OOD
29
20
0
31 Jan 2022
1