Dr David Kreil
Dr Kreil is a leading data scientist with expertise in modelling high dimensional spaces, recently collaborating with the US FDA on benchmarking and calibrating next generation sequencing assays. He has chaired international data analysis contests in the scientific community at CAMDA since 2008.
He has since brought his expertise to establish the Traffic4cast contest as a Competition Track at NeurIPS 2019. His current research interests include paradigm change detection, robustness, sensor fusion, and informative priors.
He is also a professor at Boku University Vienna.
T. Adler, J. Brandstetter, M. Widrich, A. Mayr, D. Kreil, M. Kopp, G. Klambauer, and S. Hochreiter (2020) Cross-Domain Few-Shot Learning by Representation Fusion. arXiv:2010.06498, 2020-10-13. (more) (download)
D. P. Kreil, M. K. Kopp, D. Jonietz, M. Neun, A. Gruca, P. Herruzo, H. Martin, A. Soleymani, and S. Hochreiter (2020) The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task – Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:232-241, 2020-08-19. (more) (download)