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Generative learning for slow manifolds and bifurcation diagrams
Ellis R. Crabtree
, Dimitris G. Giovanis
, Nikolaos Evangelou
, Juan M. Bello-Rivas
,
Ioannis G. Kevrekidis
Research output
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Contribution to journal
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Article
›
peer-review
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Keyphrases
Bifurcation Diagram
100%
Slow Manifold
100%
Generative Learning
100%
Steady State
71%
Parameter Values
28%
Initialize
28%
Quantity of Interest
28%
Conditional Score
28%
Score-based Generative Model
28%
Machine Learning
14%
Dimensionality Reduction
14%
Training Data
14%
Reduction Method
14%
One-parameter
14%
Generative Models
14%
Data Distribution
14%
Parameter Space
14%
System Dynamics
14%
State Parameter
14%
PDE
14%
Dynamical Systems
14%
Learning-based
14%
Manifold Learning
14%
Nonlinear Dynamics
14%
Distribution Point
14%
Time-scale Separation
14%
Order Reduction
14%
Desired Value
14%
Coarse Scale
14%
Fast Transient
14%
Time Dynamics
14%
Model Reduction
14%
Long-term Dynamics
14%
Fast-scale
14%
Target Distribution
14%
Multiscale Algorithm
14%
Equation-free Approach
14%
Bifurcation Surface
14%
Systematic Construction
14%
Parameter Continuation
14%
Conditional Sampling
14%
Multi-time Scale
14%
Mathematics
Slow Manifold
100%
Manifold
71%
Conditionals
42%
Generative Model
42%
Approximates
14%
Dynamical System
14%
Training Data
14%
Ordinary Differential Equation
14%
Parameter Space
14%
Partial Differential Equation
14%
Dimensionality Reduction
14%
Data Distribution
14%
target distribution π
14%
Consistent System
14%