Lorenzo Moro

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Reinforcement Learning — 11 citations into it

Whom Lorenzo Moro trusts overall

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

1. J. Urgen Schmidhuber
2. Christopher D. Rosin
3. Yazhen Wang
4. Morten Nielsen
5. Richard S. Sutton
6. David Silver
7. E. Todorov
8. Chelsea Finn
9. Levente Kocsis
10. Peter Auer

Papers from Lorenzo Moro's perspective

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

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

Their papers

• Goal-Directed Planning via Hindsight Experience Replay (2022) — 15 citations