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Found 2 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.
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