Raymond Brueckner
Artificial Intelligence · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #24,592 of 35,345 by trust here, #15,236 by citations
- Signal Processing — 17 citations into it; #5,126 of 7,572 by trust here, #2,400 by citations
- Model Architectures — 9 citations into it
- Natural Language Processing — 7 citations into it
Whom Raymond Brueckner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- J. Urgen Schmidhuber
- Sepp Hochreiter
- Geoffrey E. Hinton
- Yoshua Bengio
- Pascal Vincent
- Diederik P. Kingma
- Björn Schuller
- Hugo Larochelle
- Abdel-rahman Mohamed
Who trusts Raymond Brueckner overall
Papers from Raymond Brueckner's perspective
Ordered by how strongly the researchers Raymond Brueckner 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Dropout: a simple way to prevent neural networks from overfitting
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016) — 895 citations
- Social signal classification using deep blstm recurrent neural networks (2014) — 71 citations