Thibault Gisselbrecht

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Signal Processing — 20 citations into it
• Speech & Audio — 15 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Optimization & Training — 8 citations into it

Whom Thibault Gisselbrecht trusts overall

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

1. Xavier Glorot
2. Guoguo Chen
3. Pete Warden
4. Yoshua Bengio
5. Daniel Povey
6. Yundong Zhang
7. Vijayaditya Peddinti
8. Carolina Parada
9. Tara N. Sainath

Papers from Thibault Gisselbrecht's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Understanding the difficulty of training deep feedforward neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Speech recognition with deep recurrent neural networks
9. Learning Multiple Layers of Features from Tiny Images
10. WaveNet: A Generative Model for Raw Audio

Their papers

• Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces (2018) — 921 citations
• Federated Learning for Keyword Spotting (2018) — 317 citations
• Efficient Keyword Spotting Using Dilated Convolutions and Gating (2018) — 115 citations