Benoit Gaujac

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #28,738 of 35,345 by trust here, #34,943 by citations
• Generative Models — 14 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it; #17,679 of 21,575 by trust here, #21,424 by citations
• Probabilistic & Bayesian Methods — 5 citations into it; #1,361 of 1,525 by trust here, #1,515 by citations

Whom Benoit Gaujac trusts overall

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

1. Diederik P. Kingma
2. Sergey Ioffe
3. Danilo Jimenez Rezende
4. Geoffrey E. Hinton
5. Max Welling
6. Jimmy Ba
7. Alec Radford
8. Yoshua Bengio
9. Christian Szegedy
10. Arthur Gretton

Who trusts Benoit Gaujac overall

1. Leland McInnes
2. John Healy

Papers from Benoit Gaujac's perspective

Ordered by how strongly the researchers Benoit Gaujac 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Gaussian mixture models with Wasserstein distance (2018) — 9 citations