Teknologiseminar

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(Dates and subjects - Spring 2020 – Fridays 12:00-13:00)
(Dates and subjects - Spring 2020 – Fridays 12:00-13:00)
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|  14.02    || Chloe Barnes || Introduction and own research
|  14.02    || Chloe Barnes || Introduction and own research
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|  21.02    || Seyed Mojtaba Karbasi || Introduction and own research
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<s>21.02</s> 28.02    || Seyed Mojtaba Karbasi || Introduction and own research
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|  20.03    || Tønnes Nygaard || Bias and discrimination in machine learning
|  20.03    || Tønnes Nygaard || Bias and discrimination in machine learning

Revision as of 15:46, 20 February 2020

Meeting structure

Place: ROBIN pause area, 4th floor Ole-Johan Dahls hus

12:00-12:15 Brief exchange of recent news, plans etc.

12:15-13:00 Technology / Own Research / Journal review (see guidelines), including discussion

Dates and subjects - Spring 2020 – Fridays 12:00-13:00

Eat your own lunch while listening / discussing

When Who Content (title and type (tech/res/review)
24.01 Jendrik Seipp Introduction and own research
14.02 Chloe Barnes Introduction and own research
21.02 28.02 Seyed Mojtaba Karbasi Introduction and own research
20.03 Tønnes Nygaard Bias and discrimination in machine learning
03.04 Vegard Søyseth Robin's laboratories
24.04 Ulysse Côté-Allard Introduction and own research
08.05 TBD
29.05 TBD

Overview of earlier seminars

Examples of interesting topics for technology introduction

Feel free to add topics to the wishlist!

  • Robotics
    • Reinforcement learning for robotics
    • SLAM
    • embodied cognition
    • Swarm
  • Neural networks
    • Recursive NNs and LSTMs
    • NEAT / HyperNEAT
    • Deep NNs
  • Evolutionary algorithms and other types of optimization
    • Performance comparison of EAs (statistical tests)
    • Differential evolution
    • Diversity preservation methods
    • Novelty search, MAP-Elites and variants
    • Bayesian optimization
  • Tools
    • R
    • Python as alternative to R, incl. matplotlib
    • ROS
    • Deep learning frameworks and practice
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