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Summary: towards interpretable and generalizable deep learning
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Classroom Contents
DDPS - A Flexible and Generalizable XAI Framework for Scientific Deep Learning
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- 1 Intro
- 2 Deep learning in physics-based systems
- 3 Scientific modeling in the age of Al
- 4 Lots of data BUT not enough!
- 5 Out-of-distribution (OOD) generalization
- 6 Interpretable and explainable Al (XAI)
- 7 Key idea: Integral equations!
- 8 Theory-guided machine learning
- 9 Functional data analysis (FDA)
- 10 Applications
- 11 Motivation example: 1D
- 12 Predicting strain energy from heterogeneous material property
- 13 Predicting velocity field from heterogeneous permeability
- 14 Summary: towards interpretable and generalizable deep learning
- 15 Acknowledgments
- 16 Example 3: Predicting high-fidelity wall shear stress (WSS) from low-fidelity velocity
- 17 Example 5: Local interpretation: Predicting velocity field from permeability fields
- 18 Appendix: Library
- 19 Generalized functional data analysis (gFDA)
