Neural Network Renormalization Group

Neural Network Renormalization Group

APS Physics via YouTube Direct link

Intro

1 of 21

1 of 21

Intro

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Neural Network Renormalization Group

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  1. 1 Intro
  2. 2 RG and Deep Learning
  3. 3 Motivation
  4. 4 Multi-Scale Entanglement Renormalization Ansatz
  5. 5 MERA as a quantum circuit
  6. 6 Neural Network Renormalization Group
  7. 7 Probability transformation in picture
  8. 8 Toy problem: Harmonic oscillator
  9. 9 Neural Bijectors
  10. 10 Bijectors form a group
  11. 11 Training: Probability Density Distillation
  12. 12 Interlude: The WaveNet Story
  13. 13 Variational Loss
  14. 14 What is the network learning?
  15. 15 How to interpret the latent variables ?
  16. 16 How is this useful?
  17. 17 Wander in the latent space
  18. 18 Latent space Hybrid MC
  19. 19 MI and holographic RG
  20. 20 Timeline on Generative Models
  21. 21 DL as a fluid control problem

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