Alessandro Gabriele Allievi

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Reinforcement Learning — 26 citations into it

Whom Alessandro Gabriele Allievi trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Hervé Abdi
4. Andrew Y. Ng
5. James Bergstra
6. Yoshua Bengio

Papers from Alessandro Gabriele Allievi's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Reward (Mis)design for Autonomous Driving (2021) — 169 citations
• The EMPATHIC Framework for Task Learning from Implicit Human Feedback (2020) — 81 citations