01:24:26

Theorie II - 26 - Zusammenfassung & Abschluss

01:29:35

Theorie II - 25 - Information & Zufall

01:31:10

Theorie II - 24 - In NP, um NP, und um NP herum

05:03

ICML 2024: Differentiable Annealed Importance Sampling Minimizes The JS-Divergence (Zenn, Bamler)

01:19:41

Theorie II - 22 - Satz von Cook & Levin

01:13:18

Theorie II - 21 - NP-Vollständigkeit

01:25:36

Theorie II - 20 - P != NP?

01:17:55

Theorie II - 18 - Komplexität

01:27:44

Theorie II - 19 - P und NP

01:30:10

Theorie II - 17 - Rekursive Funktionen

01:23:55

Theorie II - 16 - Turing-Vollständigkeit und - Äquivalenz

01:24:55

Theorie II - 12 - Nicht Erkennbar / Nicht Entscheidbar

01:21:17

Theorie II - 15 - Das Post'sche Korrespondenzproblem

01:23:52

Theorie II - 14 - Satz von Rice

01:26:38

Theorie II - 13 - Reduktionen

01:28:14

Theorie II - 11 - Abzählbarkeit

01:23:26

Theorie II - 09 - Turingmaschinen

01:26:36

Theorie II - 08 - Deterministische Kontextfreie Grammatiken

01:28:47

Theorie II - 07 - Kellerautomaten

01:25:49

Theorie II - 06 - Kontextfreie Grammatiken

01:23:40

Theorie II - 05 - Das Pumping-Lemma

01:28:58

Theorie II - 04 - Reguläre Ausdrücke

01:20:47

Theorie II - 03 - Nichtdeterministische Endliche Automaten

01:25:45

Theorie II - 02 - Deterministische Endliche Automaten

01:15:39

Theorie II - 01 - Formale Sprachen

01:26:39

Trustworthy ML - Lecture 12 - Conclusion (Exam, Final topics, Research at STAI)

01:29:53

Trustworthy ML - Lecture 11 - Uncertainty (Aleatoric uncertainty, Factorisation)

01:19:26

Trustworthy ML - Lecture 10 - Uncertainty (Definitions & evaluation, Epistemic uncertainty)

37:59

Virtual Humans -- Lecture 07.2 Fitting SMPL to IMU Learning

32:03

Virtual Humans -- Lecture 09.1 Neural Implicits and Point Based Clothing Models PART2

32:59

Virtual Humans -- Lecture 09.1 Neural Implicits and Point Based Clothing Models PART3 and PART4

32:03

Virtual Humans -- Lecture 09.1 Neural Implicits and Point Based Clothing Models PART2

27:15

Virtual Humans -- Lecture 09.1 Neural Implicits and Point Based Clothing Models PART1

01:20:51

Trustworthy ML - Lecture 9 - Uncertainty (Definitions & evaluation)

01:30:32

Trustworthy ML - Lecture 8 - Explainability (Training data attribution)

01:30:03

Trustworthy ML - Lecture 7 - Explainability (Feature attribution, Training data attribution)

01:30:36

Trustworthy ML - Lecture 6 - Explainability (Feature attribution)

01:29:26

Trustworthy ML - Lecture 5 - OOD Generalisation (Adversarial defenses), Explainability (Definitions)

01:25:00

Trustworthy ML - Lecture 4 - OOD Generalisation (Adversarial attacks)

01:21:48

Trustworthy ML - Lecture 3 - OOD Generalisation (Cue selection)

01:29:56

Trustworthy ML - Lecture 2 - OOD Generalisation (Definitions & evaluation, Cue selection)

25:20

Virtual Humans -- Lecture 11.2 Human Object Reconstruction from Images

24:37

Virtual Humans -- Lecture 12.1.2 Human Motion Synthesis

35:54

Virtual Humans -- Lecture 10.1 Nerf Humans

23:57

Virtual Humans -- Lecture 08.1 Part 3 Vertex Based Clothing Learning a Model

33:33

Virtual Humans -- Lecture 11.1 Human Behavior Capture

16:01

Virtual Humans -- Lecture 12.1.1 Human Synthesis in Scenes

34:15

Virtual Humans -- Lecture 08.1 Part 2 Vertex Based Clothing from Images

28:42

Virtual Humans -- Lecture 08.1 Part 1 Vertex Based Clothing - Registration

57:33

Virtual Humans -- Lecture 07.1 Fitting SMPL to IMU Optimization

40:48

Virtual Humans -- Lecture 06.2 Fitting SMPL to images with learning

45:24

Virtual Humans -- Lecture 06.1 Fitting SMPL to images with optimization

22:51

Virtual Humans -- Lecture 05.2.2 Learning based registration Part2

18:01

Virtual Humans -- Lecture 05.2.1 Learning based registration Part1

30:52

Virtual Humans -- Lecture 05.1 Model training and fitting SMPL to Scans

01:02:35

Virtual Humans -- Lecture 04.2 Vertex based models and SMPL

27:35

Virtual Humans -- Lecture 04.1 Iterative Closest Points (ICP)

26:30

Virtual Humans -- Lecture 03.2 Procrustes Alignment

56:11

Virtual Humans -- Lecture 03.1 Surface Representations

01:07:31

Virtual Humans -- Lecture 02.2 Rotations and kinematic chains