Marijn F. Stollenga

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 72 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #7,207 of 21,575 by trust here, #6,089 by citations
• Artificial Intelligence — 31 citations into it; #33,593 of 35,345 by trust here, #8,525 by citations
• Model Architectures — 15 citations into it
• Reinforcement Learning — 13 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Marijn F. Stollenga trusts overall

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

1. J. Urgen Schmidhuber
2. Alex Graves
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Sven Behnke
6. Matthew D. Zeiler
7. Ilya Sutskever
8. Yann LeCun
9. Yoshua Bengio
10. Dan Claudiu Ciresan

Who trusts Marijn F. Stollenga overall

1. Jie Hu
2. Aäron van den Oord
3. Hyeonseob Nam
4. Hao Chen
5. Sifei Liu
6. Jost Tobias Springenberg
7. Mufti Mahmud
8. Seonwoo Min
9. Viorica Patraucean
10. Max Jaderberg

Papers from Marijn F. Stollenga's perspective

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

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

Their papers

• Deep Networks with Internal Selective Attention through Feedback Connections (2014) — 265 citations
• Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation (2015) — 300 citations
• Curiosity driven reinforcement learning for motion planning on humanoids (2014) — 95 citations