Paulo Neves

Materials Chemistry · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 29 citations into it
• Computational Theory and Mathematics — 27 citations into it
• Computational Chemistry & Drug Discovery — 21 citations into it
• Molecular Biology — 11 citations into it

Whom Paulo Neves trusts overall

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

1. Daniel M. Lowe
2. Marwin H. S. Segler
3. Connor W. Coley
4. Ilya Loshchilov
5. Kaiming He
6. Geoffrey E. Hinton
7. David Weininger

Papers from Paulo Neves's perspective

Ordered by how strongly the researchers Paulo Neves 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Layer Normalization
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks (2022) — 90 citations
• Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction (2021) — 10 citations