Simon Rouard

Signal Processing · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 10 citations into it
• Artificial Intelligence — 8 citations into it
• Speech & Audio — 5 citations into it

Whom Simon Rouard trusts overall

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

1. Yi Luo
2. Naoya Takahashi
3. Fabian-Robert Stöter
4. Daniel Stoller
5. Alexandre D'efossez
6. Romain Hennequin
7. Antoine Liutkus
8. Yuki Mitsufuji
9. Ashish Vaswani
10. Hugo Touvron

Papers from Simon Rouard's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Hybrid Transformers for Music Source Separation (2022) — 298 citations