Koen Helwegen

PhD student
Team Member

Short CV

2021 - present:PhD candidate at VU University
2018 - 2021:Deep Learning Scientist at Plumerai
2015 - 2018:MSc Mathematical Sciences at Utrecht University
2012 - 2015:BSc Liberal Arts & Sciences at University College Utrecht


- Helwegen, K., Widdicombe, J., Geiger, L., Liu, Z., Cheng, K. T., & Nusselder, R. (2019). Latent weights do not exist: Rethinking binarized neural network optimization. NeurIPS 32, 7533-7544.
- Bannink, T., Bakhtiari, A., Hillier, A., Geiger, L., de Bruin, T., Overweel, L., Neeven, J. & Helwegen, K. (2020). Larq compute engine: Design, benchmark, and deploy state-of-the-art binarized neural networks. Proceedings of Machine Learning and Systems 3, 680-695
- Helwegen, K. G., Wieners, C. E., Frank, J. E., & Dijkstra, H. A. (2019). Complementing CO2 emission reduction by solar radiation management might strongly enhance future welfare. Earth System Dynamics 10(3), 453-472.

Contact info


Vrije Universiteit Amsterdam
Center for Neurogenomics and Cognitive Research (CNCR)

Department of Complex Trait Genetics

W&N building
De Boelelaan 1085

1081 HV Amsterdam

The Netherlands