Reliable AI: From Applied Harmonic Analysis to Quantum Computing

Reliable AI: From Applied Harmonic Analysis to Quantum Computing

Institut des Hautes Etudes Scientifiques (IHES) via YouTube Direct link

Artificial Intelligence = Alchemy?

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3 of 28

Artificial Intelligence = Alchemy?

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Reliable AI: From Applied Harmonic Analysis to Quantum Computing

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  1. 1 Intro
  2. 2 The Dawn of Artificial Intelligence in Public Life
  3. 3 Artificial Intelligence = Alchemy?
  4. 4 Problem with Reliability
  5. 5 Strong Requirements for Reliability
  6. 6 Main Research Directions
  7. 7 Some Facts about Graph Convolutional Neural Networks
  8. 8 A Special Form of Generalization Capability
  9. 9 Graph Laplacian: Oscillations on Graphs
  10. 10 Spectral Graph Convolution
  11. 11 Spectral Filtering using Functional Calculus
  12. 12 Graphs Modeling the Same Phenomenon
  13. 13 Comparing the Repercussion of a Filter on Two Graphs
  14. 14 DSP Framework akin to the Nyquist-Shannon Approach
  15. 15 What is Transferability precisely?
  16. 16 Transferability of Functional Calculus Filters
  17. 17 Transferability of Functional Calculus CNNs
  18. 18 Explainability
  19. 19 Rate-Distortion Viewpoint
  20. 20 Rate-Distortion Explanation
  21. 21 STL-10 Experiment
  22. 22 Desiderata
  23. 23 Cartoon X (Kolek, Nguyen, Levie, Bruna, K; ECCV 2022)
  24. 24 Telecommunication
  25. 25 Detecting Reason for Adversarial Examples
  26. 26 A Serious Problem
  27. 27 What now?... Mathematics Tells Us the Answer!
  28. 28 Conclusions

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