Mathieu Bourdeau
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Mathieu Bourdeau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- David Hilton Wolpert
- Ian T. Jolliffe
- Anil K. Jain
- Alex Smola
- Oded Z. Maimon
- Tanveer Ahmad
- Bernhard Schölkopf
- Radford M. Neal
- Jerome H. Friedman
Who trusts Mathieu Bourdeau overall
Papers from Mathieu Bourdeau's perspective
Ordered by how strongly the researchers Mathieu Bourdeau 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Modeling and forecasting building energy consumption: A review of data-driven techniques (2019) — 696 citations