Nicolas Brosse

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Probabilistic & Bayesian Methods — 18 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Statistics and Probability — 10 citations into it

Whom Nicolas Brosse trusts overall

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

1. Yarin Gal
2. Geoffrey E. Hinton
3. Radford M. Neal
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. Max Welling
8. Diederik P. Kingma
9. Michael I. Jordan
10. Bradley Efron

Who trusts Nicolas Brosse overall

1. Agustinus Kristiadi
2. Matthias Hein

Papers from Nicolas Brosse's perspective

Ordered by how strongly the researchers Nicolas Brosse 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation (2020) — 37 citations