Picture for Maximilian Ilse

Maximilian Ilse

Problems using deep generative models for probabilistic audio source separation

Nov 03, 2020
Maurice Frank, Maximilian Ilse

Figure 1 for Problems using deep generative models for probabilistic audio source separation

Figure 2 for Problems using deep generative models for probabilistic audio source separation

Figure 3 for Problems using deep generative models for probabilistic audio source separation

Figure 4 for Problems using deep generative models for probabilistic audio source separation

* 1st I Can't Believe It's Not Better Workshop (ICBINB @ NeurIPS 2020), Vancouver, Canada

Access Paper or Ask Questions

Attention-based Deep Multiple Instance Learning

Jun 28, 2018
Maximilian Ilse, Jakub M. Tomczak, Max Welling

Figure 1 for Attention-based Deep Multiple Instance Learning

Figure 2 for Attention-based Deep Multiple Instance Learning

Figure 3 for Attention-based Deep Multiple Instance Learning

Figure 4 for Attention-based Deep Multiple Instance Learning

* ICML 2018 paper, code source: https://github.com/AMLab-Amsterdam/AttentionDeepMIL

Access Paper or Ask Questions

Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification

Dec 05, 2017
Jakub M. Tomczak, Maximilian Ilse, Max Welling

Figure 1 for Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification

Figure 2 for Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification

Figure 3 for Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification

* Workshop on "Medical Imaging meets NIPS" at NIPS 2017

Access Paper or Ask Questions