François Grondin

Signal Processing · 2018–2019

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

• Signal Processing — 28 citations into it; #4,997 of 7,572 by trust here, #4,900 by citations
• Artificial Intelligence — 23 citations into it; #24,132 of 35,345 by trust here, #25,040 by citations
• Speech & Audio — 16 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it; #18,941 of 21,575 by trust here, #17,258 by citations
• Representation & Self-Supervised Learning — 6 citations into it

Whom François Grondin trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Karol J. Piczak
5. Yann LeCun
6. Jimmy Ba
7. Kaiming He
8. Yoshua Bengio
9. Ilya Sutskever
10. Tom Ko

Who trusts François Grondin overall

1. Haytham M. Fayek
2. Hao Tang

Papers from François Grondin's perspective

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

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

Their papers

• A Deep Residual Network for Large-Scale Acoustic Scene Analysis (2019) — 52 citations
• A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition (2018) — 26 citations