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Initializing LSTM internal states via manifold learning
v1v2 (latest)

Initializing LSTM internal states via manifold learning

27 April 2021
Felix P. Kemeth
Tom S. Bertalan
N. Evangelou
Tianqi Cui
S. Malani
Ioannis G. Kevrekidis
ArXiv (abs)PDFHTML

Papers citing "Initializing LSTM internal states via manifold learning"

2 / 2 papers shown
Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Ya-Wei Eileen Lin
Ronald R. Coifman
Zhengchao Wan
Ronen Talmon
207
3
0
28 Oct 2024
Tipping Points of Evolving Epidemiological Networks: Machine
  Learning-Assisted, Data-Driven Effective Modeling
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling
N. Evangelou
Tianqi Cui
J. M. Bello-Rivas
Alexei Makeev
Ioannis G. Kevrekidis
79
1
0
01 Nov 2023
1