Antoine Bruguier

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 5 papers; trusts 33 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 76 citations into it; #21,344 of 35,345 by trust here, #7,010 by citations
• Signal Processing — 42 citations into it; #4,933 of 7,572 by trust here, #2,343 by citations
• Natural Language Processing — 32 citations into it
• Speech & Audio — 29 citations into it
• Model Architectures — 20 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Efficiency & Compression — 11 citations into it

Whom Antoine Bruguier trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. F. Heider
2. Geoffrey E. Hinton
3. Hasim Sak
4. Alex Graves
5. Yann LeCun
6. Diederik P. Kingma
7. Oriol Vinyals
8. Yoshua Bengio
9. Brian Kingsbury
10. Tara N. Sainath

Who trusts Antoine Bruguier overall

1. Dong Yu
2. Manish Gupta
3. Jinyu Li

Papers from Antoine Bruguier's perspective

Ordered by how strongly the researchers Antoine Bruguier trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Et al

Their papers

• Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling (2019) — 215 citations
• On the compression of recurrent neural networks with an application to LVCSR acoustic modeling for embedded speech recognition (2016) — 104 citations
• Model Unit Exploration for Sequence-to-Sequence Speech Recognition (2019) — 37 citations
• A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency (2020) — 228 citations
• Exploring the Nature of 'Trader Intuition' (2010) — 117 citations