Maximilian Ilse
Maximilian Ilse
PhD candidate in Deep Learning, University of Amsterdam
Verified email at uva.nl
Title
Cited by
Cited by
Year
Attention-based deep multiple instance learning
M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
3592018
Diva: Domain invariant variational autoencoders
M Ilse, JM Tomczak, C Louizos, M Welling
Medical Imaging with Deep Learning, 322-348, 2020
392020
Designing data augmentation for simulating interventions
M Ilse, JM Tomczak, P Forré
arXiv preprint arXiv:2005.01856, 2020
92020
Deep multiple instance learning for digital histopathology
M Ilse, JM Tomczak, M Welling
Handbook of Medical Image Computing and Computer Assisted Intervention, 521-546, 2020
82020
Deep learning with permutation-invariant operator for multi-instance histopathology classification
JM Tomczak, M Ilse, M Welling
arXiv preprint arXiv:1712.00310, 2017
72017
Histopathological classification of precursor lesions of esophageal adenocarcinoma: A deep multiple instance learning approach
JM Tomczak, M Ilse, M Welling, M Jansen, HG Coleman, M Lucas, ...
42018
Audio navigation using short range bilateral earpieces
M Ilse, PV Boesen
US Patent 10,598,506, 2020
32020
Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions
M Ilse, P Forré, M Welling, JM Mooij
arXiv preprint arXiv:2103.04786, 2021
12021
Gaming with earpiece 3D audio
M Ilse, PV Boesen
US Patent 10,821,361, 2020
12020
Problems using deep generative models for probabilistic audio source separation
M Frank, M Ilse
arXiv preprint arXiv:2011.01761, 2020
12020
Gaming with earpiece 3d audio
M Ilse, PV Boesen
US Patent App. 17/082,235, 2021
2021
Selecting Data Augmentation for Simulating Interventions
M Ilse, JM Tomczak, P Forré
Ithaca, NYv4arXiv. org, 2020
2020
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Articles 1–12