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Equivariant Machine Learning
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Classroom Contents
Equivariant Machine Learning Structured Like Classical Physics
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- 1 Introduction
- 2 Motivation
- 3 Graph Neural Networks
- 4 Recap
- 5 Invariant
- 6 Spectral Methods
- 7 Community Detection
- 8 Graph Neural Networks Expressivity
- 9 Equivariant Machine Learning
- 10 Output
- 11 Fundamental Theorem
- 12 Translation equivalence
- 13 General groups
- 14 Numerical examples
- 15 Conclusion
- 16 Questions
