Doina Bucur

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Model Architectures — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Signal Processing — 6 citations into it
• Causal Inference & Discovery — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Doina Bucur trusts overall

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

1. Kaiming He
2. François Chollet
3. Clive W. J. Granger
4. Jan Peters
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Diederik P. Kingma
8. Aäron van den Oord
9. Eugene F. Fama
10. Rob J Hyndman

Papers from Doina Bucur's perspective

Ordered by how strongly the researchers Doina Bucur 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Causal Discovery with Attention-Based Convolutional Neural Networks (2019) — 346 citations