Information Field Theory Lecture Resources
Script:
ScriptRecordings:
Overview:1. Information Theory - Overview
Apr 20, 2020 2. Information Field Theory - Over. I
Apr 20, 2020 3. Information Field Theory - Over. II
Apr 21, 2020
Information Theory:
4. Information Theory - Logic
Apr 21, 2020 5. Plausible Reasoning
Apr 27, 2020 6. Probabilities
Apr 27, 2020 7. Probabilistic Reasoning
Apr 27, 2020 8. Deductive Logic & Stat. Inference
Apr 28, 2020 9. Bayesian Inference
Apr 28, 2020 10. Coin Tossing
May 5, 2020 11. Laplace's Rule of Succession
May 5, 2020 12. Adaptive Information Retrieval
May 6, 2020 13. Decision Theory
May 6, 2020 14. Communication
May 11, 2020 15. Information Measures
May 11, 2020 16. Information Metric
May 12, 2020 17. Maximum Entropy Principle
May 12, 2020 18. Communication & MaxEnt
May 18, 2020 18+i. Why is the KL asymmetric?
May 26, 2020 19. Hard & Soft Data Constraints
May 18, 2020 20. Maximum Entropy Recipe
May 18, 2020 21. Exponential & Poisson Distrib.
May 19, 2020 22. Gaussian Distribution
May 19, 2020 23. Multivariate Gaussian
May 25, 2020 24. MaxEnt in Many Dimensions
May 25, 2020
Information Field Theory:
25. Information Field Theory - Intro
May 25, 2020 26. Wiener Filter
May 26, 2020 27. Wiener Filter in Action
May 26, 2020 28. Optimal Linear Filter
June 8, 2020 29. Linear Response Theory
June 8, 2020 30. Symmetry Filter & Response
June 9, 2020 31. Instrument Response Functions
June 9, 2020 32. Gaussian Fields
June 15, 2020 33. Statistical Homogeneity
June 15, 2020 34. Wiener-Khintchin Theorem
June 16, 2020 35. Filter Function
June 16, 2020 36. Deconvolution
June 22, 2020 37. Fidelity
June 22, 2020 38. Missing Data
June 23, 2020 39. Matrix Algebra & Gauss. Process.
June 23, 2020 40. Wiener Process
June 29, 2020 41. Stochastic Calculus
June 29, 2020 42. Linear Stochastic Systems
June 30, 2020 43. Log-Normal Poisson Model
June 30, 2020 44. Classical Solution
July 7, 2020 45. Free & Interacting Theory
July 7, 2020 46. Local Anharmonic Interaction
July 13, 2020 47. Feynman Diagrams
July 13, 2020 48. Diagrammatic Expectation Values
July 14, 2020 49. Diagrammatic Expectation Values 2
July 14, 2020 50. Log-Normal Poisson Diagrammatic
July 14, 2020 51. Uncertainty Loop Corrections
July 20, 2020 52. Thermodynamical Inference
July 20, 2020 53. Operator Calculus
July 12, 2021
Signal Reconstruction / Numerical Information Field Theory:
101. Linear Reconstruction
September 14, 2020 103. Non-linear Reconstruction
September 14, 2020 104. Metric Gaussian Variational Inference
Jakob Knollmüller, September 15, 2020 106. Sampling
September 16, 2020 107. Geometric Variational Inference
Philipp Frank, September 21, 2022
Handouts
IT: Handout 1, Handout 2, Handout 3, Handout 4, Handout 5, Handout 6, Handout 7IFT: Handout 8, Handout 9, Handout 10, Handout 11, Handout 12, Handout 13, Handout 14, Handout 15, Handout 16
Additional Notes: Note 1, Note 2, Note 3, Note 4
NIFTy: NIFTy tutorial: IFT 1+2, NIFTy tutorial: Sampling
Exercises
Former Examinations
IT examinations: 2015, 2016, 2017, 2021IFT examinations: 2015, 2016, 2017, 2021