Alan Perotti

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #22,197 of 35,345 by trust here, #29,412 by citations
• Safety, Robustness & Interpretability — 10 citations into it; #1,446 of 2,251 by trust here, #2,110 by citations

Whom Alan Perotti trusts overall

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

1. Marco Tulio Ribeiro
2. Edward Choi
3. Min-Ling Zhang
4. Zhibiao Wu
5. Sameer Singh
6. Mohammad Taha Bahadori
7. Riccardo Guidotti
8. Zachary Chase Lipton
9. Carlos Guestrin
10. Yoshua Bengio

Who trusts Alan Perotti overall

1. Waddah Saeed
2. Surabhi Verma
3. Francesco Bodria

Papers from Alan Perotti's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Doctor XAI: an ontology-based approach to black-box sequential data classification explanations (2020) — 166 citations