Alexandre Péré

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #18,905 of 35,345 by trust here, #20,377 by citations
• Reinforcement Learning — 13 citations into it; #1,382 of 2,242 by trust here, #1,689 by citations
• Control and Systems Engineering — 7 citations into it; #3,887 of 8,257 by trust here, #3,255 by citations

Whom Alexandre Péré trusts overall

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

1. J. Urgen Schmidhuber
2. Adrien Baranes
3. Andrew Barto
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Xi Chen
7. Richard S. Sutton
8. Diederik P. Kingma
9. Irina Higgins
10. Pierre-Yves Oudeyer

Who trusts Alexandre Péré overall

1. Francesco Locatello
2. Thomas Kipf
3. Stefan Bauer

Papers from Alexandre Péré's perspective

Ordered by how strongly the researchers Alexandre Péré 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. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Curiosity Driven Exploration of Learned Disentangled Goal Spaces (2018) — 90 citations