Alex Fout

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Graph Learning — 6 citations into it

Whom Alex Fout trusts overall

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

1. Thomas Kipf
2. Max Welling
3. Geoffrey E. Hinton
4. Michael M. Bronstein
5. Ilya Sutskever
6. Yann LeCun
7. David Kristjanson Duvenaud
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Alex Fout overall

1. Hoang NT
2. Vignesh Ram Somnath
3. Christopher Morris
4. Yu Rong
5. Wenhao Gao
6. Ming Chen
7. Difei Gao
8. Rex Ying
9. Chenhao Niu
10. Yu Li

Papers from Alex Fout's perspective

Ordered by how strongly the researchers Alex Fout 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Protein Interface Prediction using Graph Convolutional Networks (2017) — 869 citations