Alexandre Piché

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Reinforcement Learning — 35 citations into it
• Optimization & Training — 18 citations into it
• Computational Mechanics — 7 citations into it
• Management Science and Operations Research — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Alexandre Piché trusts overall

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

1. Richard S. Sutton
2. Shai Shalev-Shwartz
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Tong Zhang
6. Yoshua Bengio
7. John D. Lafferty
8. Alex Krizhevsky
9. Yann LeCun
10. Marc G. Bellemare

Who trusts Alexandre Piché overall

1. Michael Janner
2. Yassine Yaakoubi
3. Justin Fu

Papers from Alexandre Piché's perspective

Ordered by how strongly the researchers Alexandre Piché 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Reward Estimation for Variance Reduction in Deep Reinforcement Learning (2018) — 45 citations
• Probabilistic Planning with Sequential Monte Carlo methods (2018) — 56 citations
• Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields (2017) — 7 citations