Harrie Oosterhuis

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Safety, Robustness & Interpretability — 12 citations into it

Whom Harrie Oosterhuis trusts overall

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

1. Chris Russell
2. Diederik P. Kingma
3. Christian Szegedy
4. Ian J. Goodfellow
5. Amir-Hossein Karimi
6. Geoffrey E. Hinton
7. Battista Biggio
8. Arnaud Van Looveren
9. Jimmy Ba
10. Sandra Wachter

Papers from Harrie Oosterhuis's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Intriguing properties of neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles (2019) — 95 citations