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lecture discrete

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  1. CMU 10799 S26: Lecture 13 - Discrete Flow Matching & Edit Flow - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  2. CMU 10799 S26: Lecture 12 - Discrete Diffusion & Masked Diffusion - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  3. CMU 10799 S26: Lecture 11 - Guest Lecture Linqi (Alex) Zhou from Luma AI - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  4. CMU 10799 S26: Lecture 10 - Distillation, Consistency Models & Flow Maps - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  5. CMU 10799 S26: Lecture 9 - Text-to-Image Generation & SOTA Techniques - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  6. CMU 10799 S26: Lecture 7 - Guidance & Controllable Generation - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  7. CMU 10799 S26: Lecture 6 - The Design Space & Fast Sampling - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  8. CMU 10799 S26: Lecture 5 - Flow Matching - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  9. CMU 10799 S26: Lecture 4 - Score-based Models - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  10. CMU 10799 S26: Lecture 3 - Modal Guest Lecture - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  11. CMU 10799 S26: Lecture 2 - Denoising Diffusion Models - Diffusion & Flow MatchingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  12. CMU 10799 S26: Diffusion & Flow Matching - Lecture 1 - Basics of Probabilistic & Generative ModelingCMU 10799 S26: Diffusion & Flow Matching - Lecture RecordingsNotes
  13. Lecture 11: Discrete Curves (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  14. Lecture 12: Smooth Surfaces I (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  15. Lecture 10: Smooth Curves (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  16. Supplemental: Vector-Valued Differential Forms (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  17. Lecture 9: Discrete Exterior Calculus (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  18. Lecture 8: Discrete Differential Forms (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  19. Lecture 7: Integration (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  20. Lecture 6: Exterior Derivative (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  21. Lecture 5: Differential Forms (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  22. Lecture 4: k-Forms (Discrete Differential Geometry)Discrete Differential Geometry - CMU 15-458/858Notes
  23. Lecture 15: Isometries, Rigidity, and CurvatureCS 468: Differential Geometry for Computer ScienceNotes
  24. Lecture 14: Discrete Exterior CalculusCS 468: Differential Geometry for Computer ScienceNotes
  25. Lecture 13: Exterior CalculusCS 468: Differential Geometry for Computer ScienceNotes
  26. Lecture 12: Finite Elements and the LaplacianCS 468: Differential Geometry for Computer ScienceNotes
  27. Lecture 11: Covariant DifferentiationCS 468: Differential Geometry for Computer ScienceNotes
  28. Lecture 9: Intrinsic Geometry of SurfacesCS 468: Differential Geometry for Computer ScienceNotes
  29. Lecture 10: Geodesic ComputationCS 468: Differential Geometry for Computer ScienceNotes
  30. Lecture 8: Computing CurvatureCS 468: Differential Geometry for Computer ScienceNotes
  31. Lecture 7: Extrinsic CurvatureCS 468: Differential Geometry for Computer ScienceNotes
  32. Lecture 6: Discrete SurfacesCS 468: Differential Geometry for Computer ScienceNotes
  33. Probability & Random Variables - Week 6 - Lecture 3 - Conditional ExpectationEE230 - Probability and Random VariablesNotes
  34. Probability & Random Variables - Week 6 - Lecture 2 - Conditioning one random variable on anotherEE230 - Probability and Random VariablesNotes
  35. Probability & Random Variables - Week 6 - Lecture 1 - Conditional PMFsEE230 - Probability and Random VariablesNotes
  36. Probability & Random Variables - Week 5 - Lecture 3 - Properties of Expectation&Variance, Joint PMFsEE230 - Probability and Random VariablesNotes
  37. Probability & Random Variables - Week 5 - Lecture 1 - Expectation and VarianceEE230 - Probability and Random VariablesNotes
  38. Probability & Random Variables - Week 5 - Lecture 2 - Properties of Expectation&Variance, Joint PMFsEE230 - Probability and Random VariablesNotes
  39. Probability & Random Variables - Week 4 - Lecture 3 - Discrete Random VariablesEE230 - Probability and Random VariablesNotes
  40. Probability & Random Variables - Week 4 - Lecture 2 - Discrete Random VariablesEE230 - Probability and Random VariablesNotes
  41. Probability & Random Variables - Week 4 - Lecture 1 - Independent Trials, CountingEE230 - Probability and Random VariablesNotes
  42. Probability & Random Variables - Week 3 - Lecture 3 - Independence, Conditional IndependenceEE230 - Probability and Random VariablesNotes