Matteo Saveriano
Control and Systems Engineering · 2018
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 12 citations into it
- Biomedical Engineering — 8 citations into it
- Reinforcement Learning — 7 citations into it
- Artificial Intelligence — 6 citations into it
Whom Matteo Saveriano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Matteo Saveriano's perspective
Ordered by how strongly the researchers Matteo Saveriano trusts endorse each paper. Same corpus, a different order for every researcher.
- End-to-End Training of Deep Visuomotor Policies
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Reinforcement Learning: An Introduction