Boxing day comes early this year: ML2R invites you to the 2021 autumn school!
Join the ML2R autumn school on October 4th to 8th, 2021!
The application deadline has expired and the onboarding is completed. Thank you for the overwhelming interest in the autumn school! We are looking forward to welcoming more than 30 highly qualified Machine Learning enthusiasts!
Learn about the industry-relevant problem of bin packing and work together with like-minded researchers to develop a Machine Learning approach. Postage has already been paid – participation is free! All attendees will receive a certificate and prices will be awarded to different categories of winning teams.
Learn from experts about a relevant industry problem
Meet like-minded people
Create novel Machine Learning solutions together.
What is behind the bin packing problem?
We all enjoy the occasional game of Tetris. But unfortunately or luckily, the world offers more than just seven shapes and a single rectangle to put them on. One of the simplest definitions of the bin packing problem can be stated thus: Given a set of items (each associated with a volume) and a set of containers (each associated with a finite capacity), decide if there exists a configuration where all items fit into the containers.
Bin packing is a member of the NP-complete set of problems. As it is with NP-complete problems, assessing the quality of a solution is not the problem, obtaining a provably good solution is the hard part.
Bin packing has been studied thoroughly from both theoretical and practical perspectives under numerous sets of constraints. Bins need not be of a standardized size, their number can be severely limited, packages may not only be described by a volume but also by a weight or monetary value … the list is endless. But often these constraints are dictated by a real practical application.
Learn more in our recent post “Bin packing: When even Computers have to guess” published in the ML2R Machine Learning blog.
A combination of theory, practice, and a friendly competition
During the autumn school, you will gain a deeper understanding of the bin packing problem itself and get to know a variety of approaches to tackle it. But not only that: Sitting through a week of lectures without practice is no fun, even less in an online setting. Therefore, the event will be a mix of theory and practice. Lectures and keynotes provide the necessary basis, but you will spend a large portion of the time working together in small groups. This will give you the chance to apply your Machine Learning skills to a well-defined version of the bin packing problem and to gain new perspectives on combinatorial optimization. Ultimately, the autumn school will be about learning together and connecting with others. On top of that, bin packing also lends itself very well to a friendly competition.
Agenda
It is expected that workshops will take place within the timeframe of 10:00 a.m. to 05:00 p.m. CEST (Central European Summer Time) / UTC +2 (Coordinated Universal Time)
Monday
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- Introduction to bin packing and its theoretical foundation
- Existing (Machine Learning) approaches to the problem of bin packing
- It’s time to get to know everyone! Socializing and team building
Tuesday
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- First steps towards coding for bin packing
- Selected Design Thinking methods to support your progress as a group
- Time to shuffle the boxes! We will be available for questions throughout the day
- Recreational evening program: data driven drink delectation
Wednesday
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- MLOps: how to go from prototype to deployment
- More time to get stacking!
- Game Night
Thursday
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- Time to teach your algorithm to pack the boxes
- Solution deadline
- Graduation party: let’s celebrate the submission of your solution!
Friday
-
- Prepare to present your solutions
- Ask me anything: meet software engineers, post-docs, and PhD students
- The big final hour: presentations and award ceremony
Contact
Vanessa Toborek & Sebastian Müller
Key Points
What
Bin packing: theory and practice
When
October 4th to 8th, 2021, Time zone: CEST
Who
Master and PhD students knowledgable in Machine Learning and Data Science
Where
Online
Why
Receive a certificate for participation and win awesome prizes!
Contact
Vanessa Toborek & Sebastian Müller
Key Points
What
Bin packing: theory and practice
When
October 4th to 8th, 2021, Time zone: CEST
Who
Master and PhD students knowledgable in Machine Learning and Data Science
Where
Online
Why
Receive a certificate for participation and win awesome prizes!
Autumn School Team
Fouad Alkhoury
Sebastian Müller
Till Schulz
Vanessa Toborek
Pascal Welke
In cooperation with
The KI Lernlabor (Artificial Intelligence Learning Lab) supports small and medium-sized enterprises in getting started with Artificial Intelligence, learning about practical applications and qualifying employees.