Fernando Andreotti
Cognitive Neuroscience · 2018
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 20 citations into it
- Artificial Intelligence — 16 citations into it
- Signal Processing — 10 citations into it
- Cardiology and Cardiovascular Medicine — 7 citations into it
- Optimization & Training — 7 citations into it
- Model Architectures — 6 citations into it
- Natural Language Processing — 5 citations into it
Whom Fernando Andreotti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yann LeCun
- Geoffrey E. Hinton
- Sepp Hochreiter
- Yoshua Bengio
- Jimmy Ba
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Ilya Sutskever
- Thomas G. Dietterich
Who trusts Fernando Andreotti overall
Papers from Fernando Andreotti's perspective
Ordered by how strongly the researchers Fernando Andreotti trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Dropout: a simple way to prevent neural networks from overfitting