Initializing LSTM internal states via manifold learning
type: Item
instance of: scholarly article
title: Initializing LSTM internal states via manifold learning
zbMATH Open document ID: 1546.37153
DOI: 10.1063/5.0055371
author: Felix P. Kemeth
author: Tom S. Bertalan
author: Nikolaos Evangelou
author: Tianqi Cui
author: Saurabh Malani
author: I. G. Kevrekidis
published in: Chaos
publication date: 2024-06-17T00:00:00Z
Mathematics Subject Classification ID: 37M99
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7866704
MaRDI profile type: Publication
cites work: Q4787388
cites work: Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
cites work: Synchronization in chaotic systems
cites work: Diffusion maps
cites work: Q3350813
cites work: Re-visiting the echo state property
cites work: Q3658782
cites work: Graph Laplacian Tomography From Unknown Random Projections
cites work: Time-scale separation from diffusion-mapped delay coordinates
cites work: Parsimonious representation of nonlinear dynamical systems through manifold learning: a chemotaxis case study
cites work: Über die praktische Auflösung von Integralgleichungen mit Anwendungen auf Randwertaufgaben.
description: scientific article; zbMATH DE number 7866704