Luca Cavalleri

Artificial Intelligence · 2020

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

• Artificial Intelligence — 28 citations into it
• Graph Learning — 17 citations into it
• Model Architectures — 10 citations into it

Whom Luca Cavalleri trusts overall

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

1. Alex Graves
2. Kaiming He
3. Oriol Vinyals
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Petar Velickovic
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Joan Bruna

Who trusts Luca Cavalleri overall

1. Vijay Prakash Dwivedi
2. Dexiong Chen
3. Siqi Miao
4. Shengchao Liu
5. Giorgos Bouritsas
6. Yuanqi Du
7. Zhaocheng Zhu

Papers from Luca Cavalleri's perspective

Ordered by how strongly the researchers Luca Cavalleri 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Principal Neighbourhood Aggregation for Graph Nets (2020) — 873 citations