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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

1 November 2023
N. Evangelou
Tianqi Cui
J. M. Bello-Rivas
Alexei Makeev
Ioannis G. Kevrekidis
ArXivPDFHTML

Papers citing "Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling"

4 / 4 papers shown
Title
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
60
79
0
08 Sep 2022
Constructing coarse-scale bifurcation diagrams from spatio-temporal
  observations of microscopic simulations: A parsimonious machine learning
  approach
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach
Evangelos Galaris
Gianluca Fabiani
I. Gallos
Ioannis G. Kevrekidis
Constantinos Siettos
AI4CE
21
40
0
31 Jan 2022
An end-to-end deep learning approach for extracting stochastic dynamical
  systems with $α$-stable Lévy noise
An end-to-end deep learning approach for extracting stochastic dynamical systems with ααα-stable Lévy noise
Cheng Fang
Yubin Lu
Ting Gao
Jinqiao Duan
47
16
0
31 Jan 2022
On the Parameter Combinations That Matter and on Those That do Not
On the Parameter Combinations That Matter and on Those That do Not
N. Evangelou
Noah J. Wichrowski
George A. Kevrekidis
Felix Dietrich
M. Kooshkbaghi
Sarah McFann
Ioannis G. Kevrekidis
28
13
0
13 Oct 2021
1