Salvatore Cuomo

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 91 citations into it
• Statistical and Nonlinear Physics — 56 citations into it
• Computer Vision and Pattern Recognition — 47 citations into it
• Computational Mechanics — 17 citations into it
• AI for Physical Sciences — 14 citations into it
• Aerospace Engineering — 11 citations into it
• Statistics and Probability — 11 citations into it
• Electronic, Optical and Magnetic Materials — 7 citations into it

Whom Salvatore Cuomo trusts overall

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

1. Maizar Raissi
2. G. Em Karniadakis
3. Paris Perdikaris
4. Lu Lu
5. Ameya Dilip Jagtap
6. Dongkun Zhang
7. E. Kharazmi
8. Sifan Wang
9. Isaac E. Lagaris
10. Liu Yang

Papers from Salvatore Cuomo's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• A survey on deep learning in medicine: Why, how and when? (2021) — 306 citations
• Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next (2022) — 2,488 citations