Fabio Giampaolo
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 Fabio Giampaolo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maizar Raissi
- G. Em Karniadakis
- Paris Perdikaris
- Lu Lu
- Geoffrey E. Hinton
- Ameya Dilip Jagtap
- Yoshua Bengio
- Diederik P. Kingma
- Dongkun Zhang
- Yann LeCun
Papers from Fabio Giampaolo's perspective
Ordered by how strongly the researchers Fabio Giampaolo trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
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