Nicolas Rahmouni

International Workshop on Information Forensics and Security · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Whom Nicolas Rahmouni trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Vinod Nair
4. Alex Krizhevsky
5. Nitish Srivastava
6. Jimmy Ba
7. Duc-Tien Dang-Nguyen
8. Ilya Sutskever
9. Yoshua Bengio
10. Ruslan Salakhutdinov

Who trusts Nicolas Rahmouni overall

1. Luisa Verdoliva
2. Huy Hoang Le Nguyen
3. Davide Cozzolino
4. Andreas Rössler
5. Thanh Thi Nguyen
6. Nils Hulzebosch
7. Francesco Marra
8. Lucy Chai
9. Junichi Yamagishi
10. Rubén Tolosana

Papers from Nicolas Rahmouni's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Dropout: a simple way to prevent neural networks from overfitting
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• Distinguishing computer graphics from natural images using convolution neural networks (2017) — 309 citations