Giovanni Paolini

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 59 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 89 citations into it; #26,813 of 35,345 by trust here, #15,542 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #17,479 of 21,575 by trust here, #11,721 by citations
• Optimization & Training — 18 citations into it
• Geometry and Topology — 16 citations into it
• Discrete Mathematics and Combinatorics — 14 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Scaling & Learning Theory — 12 citations into it
• Statistical and Nonlinear Physics — 9 citations into it

Whom Giovanni Paolini trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Alex Krizhevsky
6. Kaiming He
7. Yann LeCun
8. Michael Collins
9. Oriol Vinyals
10. James Martens

Who trusts Giovanni Paolini overall

1. Yaojie Lu
2. Aditya Golatkar
3. Alexis Ross
4. Wenxuan Zhang
5. Chenguang Wang
6. Bonan Min
7. Alessandro Achille
8. Wei-Lun Chao

Papers from Giovanni Paolini's perspective

Ordered by how strongly the researchers Giovanni Paolini 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Where is the Information in a Deep Neural Network? (2019) — 97 citations
• The Information Complexity of Learning Tasks, their Structure and their Distance (2019) — 61 citations
• Structured Prediction as Translation between Augmented Natural Languages (2021) — 364 citations
• Proof of the $$K(\pi , 1)$$ conjecture for affine Artin groups (2019) — 48 citations