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

Desiderata

22 of 28

22 of 28

Desiderata

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Reliable AI: From Applied Harmonic Analysis to Quantum Computing

Automatically move to the next video in the Classroom when playback concludes

  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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.