Kouichi Sakurai

Artificial Intelligence · 2010–2017

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #6,309 of 35,345 by trust here, #6,956 by citations
• Safety, Robustness & Interpretability — 28 citations into it; #595 of 2,251 by trust here, #625 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #6,103 of 21,575 by trust here, #5,236 by citations
• Computational Theory and Mathematics — 10 citations into it; #3,534 of 12,182 by trust here, #9,306 by citations
• Privacy & Security — 7 citations into it
• Computer Networks and Communications — 5 citations into it; #2,575 of 9,886 by trust here, #8,191 by citations

Whom Kouichi Sakurai trusts overall

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

1. Ivan Bjerre Damgård
2. Nikolaus Hansen
3. Victor Shoup
4. Torben P. Pedersen
5. Alex Krizhevsky
6. Karen Simonyan
7. Ronald Cramer
8. Amos Fiat
9. Pierre-Alain Fouque
10. Seyed-Mohsen Moosavi-Dezfooli

Who trusts Kouichi Sakurai overall

1. Slawomir Goryczka
2. Katsunari Shishido
3. Elvis Dohmatob
4. Mohammad Alaggan
5. Jiasi Weng
6. Li Xiong
7. Francesco Croce
8. Yuhang Zhou
9. Fatima Hussain
10. Atsuko Miyaji

Papers from Kouichi Sakurai's perspective

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

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

Their papers

• One Pixel Attack for Fooling Deep Neural Networks (2017) — 2,581 citations
• Distributed Paillier Cryptosystem without Trusted Dealer (2010) — 61 citations