Kevin Alexander Laube

Research Interests

  • Neural Architecture Search
  • Neural Networks
  • Hyper-parameter Optimization

Background

Since June 2018
Research assistant at the Department of Cognitive Systems, University of Tübingen

2016 - 2018
MSc in computer science, University of Tübingen

2012 - 2016
BSc in computer science, University of Furtwangen

Teaching

Publications

[1] Kevin Alexander Laube and Andreas Zell. "ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search". In 2019 Internetional Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 2019. [DOI] [arxiv]
[2]

Kevin Alexander Laube and Andreas Zell. "Prune and Replace NAS". In 2019 International Conference on Machine Learning and Applications (ICMLA), Boca Raton, Florida, USA, December 2019. [DOI] [arxiv]

[3] Kevin Alexander Laube and Andreas Zell. "Exploring single-path Architecture search ranking correlations", initially submitted to ICLR 2021 but abandoned due to many similar works appearing at the time and fundamental difficulties of a thorough empirical evaluation [openreview]
[4] Kevin Alexander Laube and Andreas Zell. "What to expect of hardware metric predictors in NAS", accepted at AutoML-Conf 2022. [openreview]
[5] Kevin Alexander Laube and Andreas Zell. "Conditional super-network weights", currently not submitted. [arxiv]
[6] Kevin Alexander Laube. "The UniNAS framework: combining modules in arbitrarily complex configurations with argument trees" [arxiv] [github]

ResearchGate profile