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Maximilian Ilse

© Maximilian Ilse


Maximilian Ilse is a PhD candidate at the Amsterdam Machine Learning Lab (AMLab) from the University of Amsterdam. He holds a B.Sc. in Physics from the Universität Leipzig and finished his M.Sc. with distinction in Audio communication and technology at the Technische Universität Berlin in 2015. His interest has shifted since then from working with time series (sound, movement, temperature), to working at the intersection of medical imaging and fundamental machine learning research, with a research focus on domain adaptation, semi-supervised learning and transfer learning. His most important scientific texts are »Designing Data Augmentation for Simulating Interventions« (2020), »Diva: Domain invariant variational autoencoders« (2019), and »Attention-based deep multiple instance learning« (2018).


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