Francesco D'Angelo

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Meta & Continual Learning — 24 citations into it
• Probabilistic & Bayesian Methods — 24 citations into it
• Optimization & Training — 12 citations into it

Whom Francesco D'Angelo trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Yann LeCun
5. Alex Krizhevsky
6. Kaiming He
7. David John Cameron MacKay
8. Gido M. van de Ven
9. Radford M. Neal
10. James Martens

Who trusts Francesco D'Angelo overall

1. Gyuhak Kim
2. Liyuan Wang

Papers from Francesco D'Angelo's perspective

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

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

Their papers

• Posterior Meta-Replay for Continual Learning (2021) — 76 citations
• Uncertainty-based out-of-distribution detection requires suitable function space priors (2021) — 11 citations