Pierre Baqué
Artificial Intelligence · 2015–2018
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Computational Theory and Mathematics — 6 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Statistics and Probability — 6 citations into it
- Computational Mechanics — 5 citations into it; #8,931 of 10,001 by trust here, #8,566 by citations
Whom Pierre Baqué trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Alfio Maria Quarteroni
- Yoshua Bengio
- Geoffrey E. Hinton
- Fisher Yu
- Jimmy Ba
- Alex Krizhevsky
- Yann LeCun
- X. Zhang
Who trusts Pierre Baqué overall
Papers from Pierre Baqué's perspective
Ordered by how strongly the researchers Pierre Baqué trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Geodesic Convolutional Shape Optimization (2018) — 93 citations
- Kullback-Leibler Proximal Variational Inference (2015) — 52 citations