Alexandre Drouin
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it
- Causal Inference & Discovery — 27 citations into it
- Biomedical Engineering — 18 citations into it
- Probabilistic & Bayesian Methods — 14 citations into it
- Statistics and Probability — 14 citations into it
- Cognitive Neuroscience — 11 citations into it
- Cellular and Molecular Neuroscience — 9 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Alexandre Drouin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jan Peters
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Alex Krizhevsky
- Angkoon Phinyomark
- Yarin Gal
- Diederik P. Kingma
- Peter Buhlmann
- Danilo Jimenez Rezende
Papers from Alexandre Drouin's perspective
Ordered by how strongly the researchers Alexandre Drouin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Dropout: a simple way to prevent neural networks from overfitting
Their papers
- Differentiable Causal Discovery from Interventional Data (2020) — 282 citations
- Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning (2018) — 663 citations