Marylou Gabrié
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Scaling & Learning Theory — 22 citations into it
- Probabilistic & Bayesian Methods — 21 citations into it
- Statistical and Nonlinear Physics — 21 citations into it
- Optimization & Training — 20 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Model Architectures — 12 citations into it
- Statistical Learning Theory — 9 citations into it
Whom Marylou Gabrié trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michel Talagrand
- Geoffrey E. Hinton
- Yoshua Bengio
- Ruslan Salakhutdinov
- Yann LeCun
- Diederik P. Kingma
- Tijmen Tieleman
- Alex Krizhevsky
- Radford M. Neal
- L. Eon Bottou
Who trusts Marylou Gabrié overall
Papers from Marylou Gabrié's perspective
Ordered by how strongly the researchers Marylou Gabrié 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Mean-field inference methods for neural networks (2019) — 38 citations