Florian Bourse

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #30,470 of 35,345 by trust here, #21,878 by citations
• Computational Theory and Mathematics — 15 citations into it; #10,565 of 12,182 by trust here, #5,465 by citations

Whom Florian Bourse trusts overall

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

1. Yann LeCun
2. Craig Gentry
3. Vadim Lyubashevsky
4. Oded Regev
5. Jaideep Vaidya
6. Chris Peikert
7. Ilaria Chillotti
8. Yoshua Bengio
9. L. Eon Bottou
10. Corinna Cortes

Who trusts Florian Bourse overall

1. Alon Brutzkus
2. Qinbin Li
3. Assi Barak
4. Nitin Agrawal
5. Amartya Sanyal
6. Ho Bae
7. Matt J. Kusner
8. Adrià Gascón
9. Oren Elisha
10. Ali Shahin Shamsabadi

Papers from Florian Bourse's perspective

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

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

Their papers

• Fast Homomorphic Evaluation of Deep Discretized Neural Networks (2018) — 358 citations
• Simple Functional Encryption Schemes for Inner Products (2015) — 352 citations