Antoine Laurent
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #15,740 of 35,345 by trust here, #23,731 by citations
- Signal Processing — 23 citations into it; #3,123 of 7,572 by trust here, #4,560 by citations
- Speech & Audio — 16 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
Whom Antoine Laurent trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Graves
- Alex Krizhevsky
- Mirco Ravanelli
- Yann LeCun
- Ilya Sutskever
- Kaiming He
- J. Urgen Schmidhuber
Who trusts Antoine Laurent overall
Papers from Antoine Laurent's perspective
Ordered by how strongly the researchers Antoine Laurent 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning (2020) — 29 citations
- End-to-end speaker segmentation for overlap-aware resegmentation (2021) — 218 citations