Tobias A. Eriksson

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Model Architectures — 5 citations into it

Whom Tobias A. Eriksson trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Yurii E. Nesterov
4. Alex Krizhevsky
5. Dzmitry Bahdanau
6. Yoshua Bengio
7. Alex Graves
8. Oriol Vinyals
9. Diederik P. Kingma
10. Kyunghyun Cho

Papers from Tobias A. Eriksson's perspective

Ordered by how strongly the researchers Tobias A. Eriksson 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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

• End-to-End Deep Learning of Optical Fiber Communications (2018) — 326 citations
• Applying Neural Networks in Optical Communication Systems: Possible Pitfalls (2017) — 143 citations