B. Bak‐Jensen

Artificial Intelligence · 2011–2021

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

Subfields

• Artificial Intelligence — 25 citations into it
• Graph Learning — 19 citations into it

Whom B. Bak‐Jensen trusts overall

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

1. Thomas Kipf
2. Ting Yu
3. Sijie Yan
4. Max Welling
5. Yaguang Li

Papers from B. Bak‐Jensen's perspective

Ordered by how strongly the researchers B. Bak‐Jensen 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• A Review of Graph Neural Networks and Their Applications in Power Systems (2021) — 373 citations
• A Simple Adaptive Overcurrent Protection of Distribution Systems With Distributed Generation (2011) — 445 citations