Pierre Dellenbach

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Networks and Communications — 8 citations into it
• Privacy & Security — 8 citations into it
• Algorithms & Complexity — 5 citations into it

Whom Pierre Dellenbach trusts overall

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

1. Alan M. Frieze
2. Anthony Dewayne Hunt
3. Cynthia Dwork
4. Xiaojin Zhu
5. Theodoros Evgeniou
6. Jan Camenisch
7. Haowen Chan
8. Stephen P. Boyd
9. Dengyong Zhou
10. David I. Shuman

Papers from Pierre Dellenbach's perspective

Ordered by how strongly the researchers Pierre Dellenbach 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries (2018) — 8 citations