Completed
- Intro & Outline
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Classroom Contents
Discovering Symbolic Models from Deep Learning with Inductive Biases
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- 1 - Intro & Outline
- 2 - Problem Statement
- 3 - Symbolic Regression
- 4 - Graph Neural Networks
- 5 - Inductive Biases for Physics
- 6 - How Graph Networks compute outputs
- 7 - Loss Backpropagation
- 8 - Graph Network Recap
- 9 - Analogies of GN to Newtonian Mechanics
- 10 - From Graph Network to Equation
- 11 - L1 Regularization of Edge Messages
- 12 - Newtonian Dynamics Example
- 13 - Cosmology Example
- 14 - Conclusions & Appendix
