François G. Germain
Signal Processing · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 96 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 36 citations into it; #6,220 of 7,572 by trust here, #4,750 by citations
- Artificial Intelligence — 16 citations into it; #29,052 of 35,345 by trust here, #24,417 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Speech & Audio — 12 citations into it; #898 of 1,076 by trust here, #869 by citations
- Computational Mechanics — 9 citations into it
- Model Architectures — 6 citations into it
- Generative Models — 5 citations into it
Whom François G. Germain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jonathan Le Roux
- Diederik P. Kingma
- P. Loizou
- Karen Simonyan
- Gautham J. Mysore
- Yoshua Bengio
- Geoffrey E. Hinton
- Sergey Ioffe
- Andrew L. Maas
- Xavier Glorot
Who trusts François G. Germain overall
- Sung Kim
- Yuichiro Koyama
- Rui Liu
- Dacheng Yin
- Yunpeng Li
- Hyeong-Seok Choi
- Umut Isik
- Visvesh S. Sathe
- Berrak Sisman
- Tyler Vuong
Papers from François G. Germain's perspective
Ordered by how strongly the researchers François G. Germain trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Speech Denoising with Deep Feature Losses (2018) — 169 citations
- Equalization matching of speech recordings in real-world environments (2016) — 18 citations