Felipe Meneguzzi

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Reinforcement Learning — 33 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Control and Systems Engineering — 20 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Felipe Meneguzzi trusts overall

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

1. Faraz Torabi
2. Geoffrey E. Hinton
3. Sergey Levine
4. Pieter Abbeel
5. Richard S. Sutton
6. Diederik P. Kingma
7. Garrett Warnell
8. Chelsea Finn
9. Yoshua Bengio
10. Alex Krizhevsky

Papers from Felipe Meneguzzi's perspective

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

Their papers

• A Survey of Imitation Learning Methods, Environments and Metrics (2024) — 133 citations