Maxime Gasse

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Reinforcement Learning — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Industrial and Manufacturing Engineering — 5 citations into it

Whom Maxime Gasse trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Thorsten Joachims
4. C. Burges
5. Tobias Achterberg
6. Dean A. Pomerleau
7. Andrea Lodi
8. Geoffrey E. Hinton
9. Jimmy Ba
10. Thomas Kipf

Who trusts Maxime Gasse overall

1. Yoshua Bengio
2. Andrea Lodi
3. Quentin Cappart
4. Vinod Nair

Papers from Maxime Gasse's perspective

Ordered by how strongly the researchers Maxime Gasse 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Exact Combinatorial Optimization with Graph Convolutional Neural Networks (2019) — 647 citations