Aladin Virmaux

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #11,005 of 35,345 by trust here, #21,878 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Aladin Virmaux trusts overall

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

1. Alex Krizhevsky
2. Sergey Ioffe
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Martín Arjovsky
7. Kaiming He
8. Alex Graves
9. Yoshua Bengio
10. Yann LeCun

Who trusts Aladin Virmaux overall

1. Matt Jordan
2. Hyunjik Kim
3. Dongmian Zou
4. Wei Wang
5. A. Dimakis
6. Hsueh-Ti Derek Liu
7. Mahyar Fazlyab

Papers from Aladin Virmaux's perspective

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

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

Their papers

• Lipschitz regularity of deep neural networks: analysis and efficient estimation (2018) — 703 citations