End-to-End Learning and Auto-Differentiation - Forces, Uncertainties, Etc.

End-to-End Learning and Auto-Differentiation - Forces, Uncertainties, Etc.

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

Uncertainty and active learning

5 of 16

5 of 16

Uncertainty and active learning

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End-to-End Learning and Auto-Differentiation - Forces, Uncertainties, Etc.

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  1. 1 Intro
  2. 2 Virtuous cycle for design
  3. 3 Quick thoughts on Emergence
  4. 4 Excited State potentials
  5. 5 Uncertainty and active learning
  6. 6 Adversarial Attacks on Interatomic potentials
  7. 7 Rev-MD17 uncertainty
  8. 8 Testing the potential - is this emergence?
  9. 9 More on Pair potentials
  10. 10 DiffSim for barrier crossing
  11. 11 Issues and tools needed
  12. 12 Coarse Graining Auto-Encoding Framework
  13. 13 CG of molecular liquids
  14. 14 Equivariant generative decoder
  15. 15 GenZProt
  16. 16 Reconstruction vs Generation

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