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The Representation Learning Research Group led by Professor Dr. Josif Grabocka was founded in 01.12.2019 and focuses on exploring Deep Learning representations to tackle diverse Machine Learning tasks arising in practical data-driven application domains. In particular, the lab is focused on Neural Architecture Search, Hyper-parameter optimization, as well as designing end-to-end architectures for sequential data (time-series) and Recommender System prediction tasks.