Information Field Theory Lecture Resources

Script:

Script

Recordings:

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

Handouts

IT: Handout 1, Handout 2, Handout 3, Handout 4, Handout 5, Handout 6, Handout 7
IFT: Handout 8, Handout 9, Handout 10, Handout 11, Handout 12, Handout 13, Handout 14, Handout 15, Handout 16
NIFTy: NIFTy tutorial: IFT 1+2, NIFTy tutorial: Sampling

Exercises

IT: Exercise 1, Exercise 2, Exercise 3, Exercise 4, Exercise 5
IFT: Exercise 6, Exercise 7, Exercise 8, Exercise 9, Exercise 10, Exercise 11, Exercise 12

Examinations

IT examinations: 2015, 2016, 2017
IFT examinations: 2015, 2016, 2017