Variational Wavefunctions, Machine Learning Architecture for Fermions and Gauge Theories

Variational Wavefunctions, Machine Learning Architecture for Fermions and Gauge Theories

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Intro

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1 of 16

Intro

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Variational Wavefunctions, Machine Learning Architecture for Fermions and Gauge Theories

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  1. 1 Intro
  2. 2 Machine Learning for Fermions
  3. 3 Neural Net Backflow
  4. 4 Neural Network
  5. 5 Generalizations
  6. 6 BDG State
  7. 7 Larger Determinants
  8. 8 Multidetermining Expansion
  9. 9 Results
  10. 10 Neural Net
  11. 11 Larger Systems
  12. 12 Symmetry Restoration
  13. 13 Neural Network Flow
  14. 14 R by R Matrix
  15. 15 Decay Event Measurement Evolution
  16. 16 Slave Fermions

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