Machine Learning the Landscape - Lecture 1

Machine Learning the Landscape - Lecture 1

International Centre for Theoretical Sciences via YouTube Direct link

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Machine Learning the Landscape - Lecture 1

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  1. 1 Start
  2. 2 Machine- Learning the Landscape Lecture 1
  3. 3 PLAN
  4. 4 Further Reading
  5. 5 A Classic Problem in Mathematics
  6. 6 Classical Results for Riemann Surface
  7. 7 Some Rudiments & Nomenclature
  8. 8 Cohomology
  9. 9 Calabi-Yau
  10. 10 String Phenomenology
  11. 11 Heterotic Compactification
  12. 12 Mille Viae ducunt hominies Romam
  13. 13 Covariant Constant Spinor
  14. 14 Summary
  15. 15 Special Holonomy
  16. 16 Some Topological Properties I
  17. 17 Some Topological Properties II
  18. 18 Explicit Examples of Calabi-Yau Manifolds
  19. 19 As Projective Varieties
  20. 20 Mille Viae ducunt hominies Romam
  21. 21 Cyclic Manifolds
  22. 22 Triadophilia: A 40-year search
  23. 23 Complete Intersection Calabi-Yau CICY 3-folds
  24. 24 Part I
  25. 25 Q&A

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