Pattarawat ChormaiDoctoral Candidate (deputy student representative)
Since 2019 Doctoral candidate, Max Planck School of Cognition, Leipzig
Doctoral research performed at Technical University of Berlin (Supervisors: Klaus-Robert Müller & Grégoire Montavon)
2015–2018 Master of Science in Data Science, Eindhoven University of Technology, the Netherlands & Technical University of Berlin
(dual degree program organized by EIT Digital Master School)
2008–2012 Bachelor of Science in Information Technology, King Mongkut's Institute of Technology, Ladkrabang, Thailand
2020/2021 Machine Learning (exercise grading), Technical University of Berlin
Chormai, P., Ponrawee, P., Jin, C., et al. (2020). Syllable-based neural Thai word segmentation. Proceedings of the 28th International Conference on Computational Linguistics, Barcelona, Spain. International Committee on Computational Linguistics, 4619–4637. doi:10.18653/vl/2020.coling-main.407
Chormai, P., Ponrawee, P., & Attapol, R. (2019). AttaCut: A fast and accurate neural Thai word segmenter. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, BC, Canada. Retrieved from arXiv:1911.07056.
Rieger, L., Chormai, P., Montavon, G., Hansen, L. K., & Müller, K.-R. (2018). Structuring neural networks for more explainable predictions. In H. J. Escalante et al. (Eds.), Explainable and interpretable models in computer vision and machine learning. The Springer series on challenges in machine learning (pp. 115–131). Springer: Cham, Switzerland.
© Photo: Nikolaus Brade