Machine Learning for Computing Tensor Rank

Machine Learning for Computing Tensor Rank

Centre de recherches mathématiques - CRM via YouTube Direct link

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Machine Learning for Computing Tensor Rank

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  1. 1 Introduction
  2. 2 Machine learning has revolutionized many fields
  3. 3 Can we use machine learning to find new algorithms
  4. 4 What are the challenges of machine learning
  5. 5 Outline
  6. 6 Matrix multiplication tensor
  7. 7 Matrix multiplication algorithm
  8. 8 Improving asymptotic complexity
  9. 9 Math problem
  10. 10 Model
  11. 11 Challenges
  12. 12 Action Space
  13. 13 Alpha Zero
  14. 14 Training
  15. 15 Synthetic data
  16. 16 Tensor rank
  17. 17 architecture
  18. 18 attention
  19. 19 machine learning architecture
  20. 20 overall system
  21. 21 results
  22. 22 example
  23. 23 open source
  24. 24 bilinear algorithm
  25. 25 rewards function
  26. 26 performance improvements
  27. 27 limitations
  28. 28 applications
  29. 29 why
  30. 30 possible
  31. 31 inference TPU
  32. 32 Algorithmic Discovery

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