|Maximilian Ilse University of Amsterdam email@example.com|
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).
Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.
Attention-based deep multiple instance learning Inproceedings
International Conference on Machine Learning. ICML, 2018.
Medical Imaging meets NIPS Workshop, 2017.