Otto Fabius

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #21,558 of 35,345 by trust here, #17,110 by citations
• Model Architectures — 5 citations into it

Whom Otto Fabius trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. L. V. D. van der Maaten
4. Danilo Jimenez Rezende
5. Justin Bayer
6. Yoshua Bengio
7. Max Welling
8. Alex Graves
9. Sepp Hochreiter
10. Alex Krizhevsky

Who trusts Otto Fabius overall

1. Yingzhen Li
2. Gustav Eje Henter
3. Marco Fraccaro
4. Francesco Tonin
5. Adam Roberts
6. Eric Zhan
7. David Charte
8. Samuel R. Bowman
9. Guangzhi Sun
10. Stephan Mandt

Papers from Otto Fabius's perspective

Ordered by how strongly the researchers Otto Fabius 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. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Variational Recurrent Auto-Encoders (2014) — 269 citations