ABCDEFGH
1

WORKSHOP SCHEDULE
2
3
4
Phase 0: Pre-course Exercises
LecturesExercisesOther
5
Send out material (April 2)Tutor Session 1
(3h block, April 15. 14:00-17:00 CEST)		Tutor Session 2
(3h block, April 29, 14:00-17:00 CEST)		Final Q&A (May 03, 14:00-17:00 CEST)
6
Intro to image proc in python (on Colab)Intro to ML in pytorch (on Colab)
7
Pre-course 1: Basic image processingPre-course 2: Basic ML and Intro to Pytorch
8
Josh, Anirban, PeterAnirban, Josh, PeterAnirban, Josh, Peter
9
10
Phase 1: Lectures and Exercises
LecturesExercisesOther
11
12
Day 0 (Tue, May 7)Day 1 (Wed, May 8)Day 2 (Thu, May 9)Day 3 (Fri, May 10)Day 4 (Sat, May 11)Day 5 (Sun, May 12)
13
9:00 AM WelcomeMorning Q&ATutorial 1 (Damian)
Data Labeling Tools 101		Morning Q&A
14
9:30 AM Student flash talksLecture 2:Lecture 4:Lecture 6:
15
10:00 AM Semantic Segmentation
(Anna Kreshuk)		Image Regression I: Denoising and Restoration (Alex Krull)Transformers for bioimages
(Constantin Pape)		Group Trip
16
10:30 AM CoffeeCoffee
17
11:00 AM Lecture 1:Exercises 2:Exercise 4:CoffeeSurprise
18
11:30 AM Deep Learning Deep Dive
(Florian Jug)		Semantic segmentationImage Regression + DenoisingTutorial: Segment Anything (Constantin, Sheida)Excursion
19
12:00 PM (Will, Eugenia)(Ben S., Ashesh, Igor)Exercise 5:👍
20
12:30 PM Team AssignmentsTransformers + representations (Mehdi, Igor, Anirban)😊
21
1:00 PM LunchLunchLunchLunch
22
1:30 PM (5 students with speakers)(5 students with speakers)(5 students with speakers)
23
2:00 PM Exercise 0:Lecture 3:Lecture 5:Exercise 5 (continued)
24
2:30 PM Intro to local IT setupInstance Segmentation
(Carsen Stringer)		Image Regression II: Translation and Splitting
(Shalin Mehta, Florian Jug)
25
3:00 PM Coffee with the speakers
26
3:30 PM Arrival at HTExercise 1:Coffee with the speakers / TA MeetingCoffee with the speakers / TA meetingCoffee with the speakers / TA Meeting
27
4:00 PM Check-inBuild your own U-netExercise 2 continuedExercise 4 continued
28
4:30 PM HT Tour(Larissa, Morgan, Caroline)Seminar 1: Advanced topics
29
5:00 PM Exercise 3:Diffusion (Anirban) + GANs (Diane)
30
5:30 PM Instance SegmentationCoffee break
31
6:00 PM Welcome Aperitivo(Alex, Vera, Manan)Tutorial 2 (Weigel)
Pro Data Labeling Workflows		Tutorial 3:
(+ meet the speakers)
32
6:30 PM AI4Life - general intro (Esti)
Cloud Service Demo (Wei)
33
7:00 PM Optional Group DinnerDinner @ HTDinner @ HTDinner @ HTDinner city centreDinner @ out
34
7:30 PM
35
8:00 PM Instructor meetingExercise 3 cont'dTBDMeet Milano After Dark "Networking" Session
36
8:30 PM Planning the hands-on project phase...
37
9:00 PM
38
9:30 PM
39
10:00 PM
40
10:30 PM
41
11:00 PM
42
11:30 PM
43
44
Phase 2: Projects
TutorialsExercisesMisc
45
46
Day 6 (Mon, May 13)Day 7 (Tue, May 14)Day 8 (Wed, May 15)Day 9 (Thu, May 16)Fri, May 17
47
9:00 AM Project and Team AssignmentsMorning Q&ASeminar 4
(+ meet the speakers)		Seminar 5
(+ meet the speaker)		…travel day...
48
9:30 AM Starting the project phase...
(6 projects, teams of 4)		(all hands on deck)Instance segmentation of large objects
(Dagmar Kainmüller)		Biases in DL and human perception (Jan Funke)
49
10:00 AM Project WorkProject WorkProject WorkProject Work
50
10:30 AM Problem Formalization, Brainstorming Potential Approach
51
11:00 AM
52
11:30 AM
53
12:00 PM
54
12:30 PM
55
1:00 PM LunchLunchLunchLunch
56
1:30 PM (5 students with speaker)(5 students with speaker)(5 students with speaker)(5 students with speaker)
57
2:00 PM Seminar 2
(+ meet the speaker)		Seminar 3
(+ meet the speaker)		Tutorial
(+ meet the speaker)		Preparation for
Final Presentations
58
2:30 PM Failure Modes
(Virginie Uhlman)		Data Archives for AI
(Matthew Hartley)		DL in CellProfiler
(Beth Cimini)
59
3:00 PM Discussion:
Failure Modes		Project Work / TA MeetingProject Work / TA Meeting
60
3:30 PM Project Work
61
4:00 PM Final Project Presentations
62
4:30 PM (20 mins per project, open to interested HT audience)
63
5:00 PM
64
5:30 PM Project Updates + Feedback
65
6:00 PM Tutorial
(Caroline Malin-Mayor)		(10 mins per project)Wrap-Up and Feedback
66
6:30 PM TrackingWhat was good, what can improve?
67
7:00 PM Dinner @ HTDinner @ HTDinner @ HTApero at ESSE
68
7:30 PM
69
8:00 PM Optional Project WorkOptional Project WorkOptional Project Work
70
8:30 PM
71
9:00 PM
72
9:30 PM Optional evening out (self organized)
73
10:00 PM
74
10:30 PM
75
11:00 PM
76
11:30 PM