Gabriele Prato

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 3 papers; trusts 122 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Computer Vision and Pattern Recognition — 46 citations into it
• Natural Language Processing — 23 citations into it
• Efficiency & Compression — 22 citations into it
• Model Architectures — 19 citations into it

Whom Gabriele Prato trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ilya Sutskever
6. Kaiming He
7. Diederik P. Kingma
8. Oriol Vinyals
9. Kyunghyun Cho
10. Sepp Hochreiter

Who trusts Gabriele Prato overall

1. Mojtaba Valipour
2. Wei Zhang
3. Kai Han
4. Mehdi Rezagholizadeh
5. Lu Hou
6. Aakanksha Chowdhery

Papers from Gabriele Prato's perspective

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

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

Their papers

• Small Encoders Can Rival Large Decoders in Detecting Groundedness (2025)
• Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers (2021) — 12 citations
• Fully Quantized Transformer for Machine Translation (2019) — 72 citations