ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.02556
  4. Cited By
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
Clemens Hutter
R. Gül
Helmut Bölcskei
ArXiv (abs)PDFHTML

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
487
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
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CEAIMat
249
35
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
352
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
G. Pammer
OOD
389
28
0
31 Jan 2022
1