Giovanni Cherubini

Artificial Intelligence · 2002–2022

A researcher in the Science corpus: 4 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Computer Vision and Pattern Recognition — 47 citations into it
• Electrical and Electronic Engineering — 36 citations into it
• Representation & Self-Supervised Learning — 26 citations into it

Whom Giovanni Cherubini trusts overall

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

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

Papers from Giovanni Cherubini's perspective

Ordered by how strongly the researchers Giovanni Cherubini 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. Learning Multiple Layers of Features from Tiny Images
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Constrained Few-shot Class-incremental Learning (2022) — 204 citations
• Robust high-dimensional memory-augmented neural networks (2020) — 123 citations
• In-memory hyperdimensional computing (2019) — 305 citations
• "Millipede": a MEMS-based scanning-probe data-storage system (2002) — 250 citations