AI Winter School

27 Feb 2024, 09:00 → 29 Feb 2024, 17:00 Europe/Berlin

Paderborn

We are pleased to present the AI Winter School 2024 at Paderborn University. This Winter School is a collaboration of the SAIL Research Network and the Doctoral Networks LEMUR and KnowGraphs. At this Winter School we will offer exciting lectures in the field of Machine Learning as well as helpful hands-on disciplinary and complementary trainings. The whole event will be accompanied by a poster session and a social program, which will provide opportunities for networking and professional exchange. 

We look forward to welcoming you in Paderborn! 

Prof. Dr. Axel Ngonga and the team of the DICE Research Group

© Universität Paderborn, Kamil Glabica

Status Updates AI Winter School: 

19th September 2023: The preliminary program of the AI Winter School is now published and can be viewed under "Timetable".
 

05th September 2023: Registration is now open! Register for the AI Winter School until 15th October 2023. The program is still being worked on and will be made available ASAP on this page. More information including how to participate in the poster session will follow soon.

Arrival to Venue

The AI Winter School will take place in the L-Building of Paderborn University. This is located at the intersection of the streets "Südring" and "Pohlweg." A free parking lot of the university is located directly on the opposite side at the Pohlweg (entrance to the parking lot from "Mersinweg"). By public transport, the best way to reach the university from the main train station is to take bus lines 4 or 9 to the bus stop "Uni/Südring" (journey time about 15 minutes).

Accommodation

You may find some hotel recommendations and booking links below. Please visit the links to finalize your bookings directly with the hotels. 

• Welcome Hotel Paderborn: Special rates for guests of Paderbon University when using the personal booking code „WHPBUNIY61“: Standard Single Room 109 EUR incl. breakfast and WLAN. 
• Hotel Aspethera Paderborn: Special rates for guests of Paderborn University, please indicate when booking! Regular price: Single Room about 98 EUR inkl. breakfast. 
• B&B Hotel Paderborn: Single room from 58 EUR per night, (68,50 EUR with breakfast).
• ibis Hotel Paderborn City: Single room from 60 EUR per night (75 EUR with breakfast).
• Best Western Plus Arosa Hotel: Single room from 119 EUR (136 EUR with breakfast)
• Intercity Hotel Paderborn: Freshly opened at the end of January, this hotel is located directly in Paderborn's new main train station. From 69 EUR including breakfast

 
 

Tuesday, 27 February

09:00 Welcome

1 Lecture 1: Foundations of Machine Learning (Wojciech Kotlowski)

10:45 Coffee Break

2 Lecture 2: Uncertainty in Machine Learning (Eyke Hüllermeier)

12:45 Lunch

3 Lecture 3: Learning with Drift (Barbara Hammer)

15:30 Coffee Break

4 Training 1: Evaluating machine learning (Michael Röder)

Please note that the Training Session is open to PhD Students only.

5 Winter School Dinner

The AI Winter School Dinner will take place from 18:30 in the Schützenhof Paderborn. There is the possibility to use a shared shuttle bus from the university. Meeting point for the shuttle bus is at 17:45 in the foyer of the L-building. If you would like to travel yourself, see https://www.schuetzenhof.de/kontakt/anfahrt/.

Wednesday, 28 February

6 Summary and announcements

7 Lecture 4: Neuro-Symbolic Learning I (Luc De Raedt)

10:45 Coffee Break

8 Lecture 5: Neuro-Symbolic Learning II (Luc De Raedt)

12:45 Lunch

9 Training 2: Research methodology: Of time and tools (Caglar Demir)

Please note that the Training Session is open to PhD Students only.

10 Poster Session (TBA)

11 Social Evening Out

You can organize the Social Evening Out as you wish. We have attached a Google Maps list to give you a little inspiration. Get together in small groups, discover Paderborn and exchange ideas, whether over pizza, sushi, schnitzel or a curry - there's something for everyone on our list. https://maps.app.goo.gl/R4nNRDMkwdjKatQU7

Thursday, 29 February

12 Summary and announcements

13 Lecture 6: Class Expression Learning (Axel Ngonga)

10:45 Coffee Break

14 Lecture 7: Responsible ML (Monowar Bhuyan)

12:45 Lunch

15 Training 3: Career planning

This training is about all questions around the scientific career. Barbara Hammer, Eyke Hüllermeier, Gabriella Pasi and Monowar Bhuyan talk about their path to science and discuss with you what is important when embarking on this career. In an "Ask me Anything" session you'll have the opportunity to ask anything you've always wanted to know about working in science. You are also welcome to submit a question anonymously in advance: https://app.sli.do/event/oYQFQs9afD9QUtX6dbjHPt/live/questions

Please note that the Training Session is open to PhD Students only.

15:30 Coffee Break

16 Summary