Francesco Vidaich

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Reinforcement Learning — 10 citations into it

Whom Francesco Vidaich trusts overall

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

1. Ronald J. Williams
2. Richard S. Sutton
3. Marc Peter Deisenroth
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Aäron van den Oord
7. Alberto Maria Metelli
8. Matthew Riemer
9. Max Jaderberg

Papers from Francesco Vidaich's perspective

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

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

Their papers

• Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization (2021) — 11 citations