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Found 3 papers, 1 papers with code
Learning Lie Group Symmetry Transformations with Neural Networks
The problem of detecting and quantifying the presence of symmetries in datasets is useful for model selection, generative modeling, and data analysis, amongst others.
Learning reversible symplectic dynamics
Time-reversal symmetry arises naturally as a structural property in many dynamical systems of interest.
Chimera states through invariant manifold theory
If the intra-star coupling configuration is sparse, the chimeras are asymptotically stable.
Dynamical Systems Adaptation and Self-Organizing Systems
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