Dylan Bourgeois

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #30,469 of 35,345 by trust here, #13,353 by citations
• Graph Learning — 24 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Information Systems — 5 citations into it

Whom Dylan Bourgeois trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Max Welling
4. Geoffrey E. Hinton
5. Jure Leskovec
6. William L. Hamilton
7. Alex Krizhevsky
8. Yann LeCun
9. Rex Ying
10. Thomas Kipf

Who trusts Dylan Bourgeois overall

1. Hao Yuan
2. Michael Fu
3. Weiwei Jiang
4. Minh N. Vu
5. Michael Sejr Schlichtkrull
6. Siqi Miao
7. Alaa Bessadok
8. Yi Li
9. Amitojdeep Singh
10. Marinka Zitnik

Papers from Dylan Bourgeois's perspective

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

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

Their papers

• GNNExplainer: Generating Explanations for Graph Neural Networks (2019) — 1,981 citations