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

v1v2 (latest)

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

Applied and Computational Harmonic Analysis (ACHA), 2021

6 May 2021

Helmut Bölcskei

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

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

514

2

0

05 Feb 2024

Partial Differential Equations Meet Deep Neural Networks: A Survey

Partial Differential Equations Meet Deep Neural Networks: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022

260

36

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

398

19

0

24 Oct 2022

Designing Universal Causal Deep Learning Models: The Geometric
(Hyper)Transformer

Designing Universal Causal Deep Learning Models: The Geometric (Hyper)TransformerMathematical Finance (Math. Finance), 2022

Beatrice Acciaio

Anastasis Kratsios

425

29

0

31 Jan 2022