Marius Wunderle

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Model Architectures — 8 citations into it
• Medical & Health AI — 6 citations into it

Whom Marius Wunderle trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Ilya Sutskever
6. Kyunghyun Cho
7. Volodymyr Mnih
8. Dzmitry Bahdanau
9. Ross B. Girshick
10. Alex Graves

Papers from Marius Wunderle's perspective

Ordered by how strongly the researchers Marius Wunderle trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks (2018) — 79 citations