University of Amsterdam
Maximilian Ilse University of Amsterdam

PhD Candidate
Phone: +31 12 34 56789
LinkedIn; Google Scholar


Maximilian recently joined the Amsterdam Machine Learning Lab led by Max Welling as a PhD candidate. He is working at the intersection of medical imaging and fundamental machine learning research. Here, his research focus lies on domain adaptation, semi-supervised learning and transfer learning. Prior to his PhD – during his master’s degree and previous employment – he focused on working with time series (sound, movement, temperature).


J. M. Tomczak, M. Ilse, M. Welling, M. Jansen, H.G. Coleman, M. Lucas, K. de Laat, M. de Bruin, H. Marquering, M. J. van der Wel, O. J. de Boer, C. D. Savci-Heijink, S. L. Meijer

Histopathological classification of precursor lesions of esophageal adenocarcinoma: A Deep Multiple Instance Learning Approach Inproceedings

Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.

Abstract | Links | BibTeX

M. Ilse, J. M. Tomczak, M. Welling

Attention-based deep multiple instance learning Inproceedings

International Conference on Machine Learning. ICML, 2018.

Abstract | Links | BibTeX


J. M. Tomczak, M. Ilse, M. Welling

Deep Learning with Permutation-invariant Operator for Multiple-instance Histopathology Classification Inproceedings

Medical Imaging meets NIPS Workshop, 2017.

Abstract | Links | BibTeX