MLC Dresden Annual Workshop

18 May 2020, 09:00 → 19 May 2020, 18:00 Europe/Berlin

Festsaal (Festival Room) (Hülße-Bau)

The aim of this workshop is:

• finding like-minded practitioners and experts
• discussing challenges and problems
• exchanging solutions
• getting inspiration from other ML users

In the tradition of this spirit, you are invited to send abstracts on your recent work involving the application of machine learning on a specific research topic. To group similar topics, the abstracts will be peer-reviewed prior to acceptance or rejection. We encourage submission of work-in-progress subjects that you want feedback on as well as completed projects which have possibly already been published.

Please submit your abstract for a contribution to our call for abstracts by April 10, 2020. The workshop venue is the "Festsaal der Wirtschaftswissenschaften", Hülße-Bau on the TU Dresden main campus.

The event is generously supported by

• the Data Science competence centers CASUS
• the Center for Scalable Data Analytics and Artificial Intelligence SCADS
• Helmholtz AI Local Unit at HZDR
• Helmholtz Federated IT services HIFIS

Because of this support we are very happy to announce the following highlight talks:

1. Prof. Björn Andres, Professor of Machine Learning for Computer Vision at TU Dresden

2. Prof. Nikos Psarros, Professor of Philosophy at University of Leipzig

In case of any further questions, don’t hesitate to contact our team members!

COVID19 Disclaimer:

We are monitoring the situation with respect to the consequences from the current spread of the corona virus COVID19. We are evaluating the situation and are taking remote contributions and remote participation into account. We will inform all interested parties on this website in due course of our actions.

Social Media Hint: If you'd like to follow our workshop on twitter.com, please use #mlcdd2020

Monday 18 May

10:00 → 11:15 General Introduction

10:00 Welcome

Welcome address by the organizers

10:15 Keynote: Machine Learning at TU Dresden

11:15 → 11:30 Break

11:30 → 12:30 Contributed Talks

12:30 → 13:30 Lunch

paid for by each individual

13:30 → 15:00 Monday Afternoon Talks 1

15:00 → 16:00 Coffee Break

16:00 → 17:30 Monday Afternoon Talks 2

19:30 → 21:30 Workshop Dinner

self-paid basis

Tuesday 19 May

09:30 → 11:00 Tuesday Morning Session 1

11:00 → 11:30 Coffee Break

11:30 → 13:00 Tuesday Morning Session 2

13:00 → 14:30 Lunch

on self-paid basis

14:30 → 15:30 Tuesday Afternoon Session 1

15:30 → 16:00 Afternoon Break

16:00 → 18:00 Tuesday Afternoon Session 2