Giuseppe Cuccu

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #9,163 of 35,345 by trust here, #12,580 by citations
• Reinforcement Learning — 6 citations into it; #821 of 2,242 by trust here, #1,155 by citations
• Evolutionary Computation — 5 citations into it

Whom Giuseppe Cuccu trusts overall

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

1. J. Urgen Schmidhuber
2. Daan Wierstra
3. Yi Sun
4. Faustino J. Gomez
5. Richard S. Sutton
6. Tom Schaul
7. Satinder Singh
8. Nikolaus Hansen
9. Jan Koutník
10. Geoffrey E. Hinton

Who trusts Giuseppe Cuccu overall

1. J. Urgen Schmidhuber
2. Jan Koutník
3. Samuel Alvernaz
4. Sergey Levine
5. Kyunghyun Cho
6. Yoshua Bengio
7. Jiakai Zhang
8. Faustino J. Gomez
9. Trevor Darrell
10. Kai Arulkumaran

Papers from Giuseppe Cuccu's perspective

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

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

Their papers

• Evolving large-scale neural networks for vision-based reinforcement learning (2013) — 172 citations
• Intrinsically motivated neuroevolution for vision-based reinforcement learning (2011) — 26 citations
• Evolving large-scale neural networks for vision-based TORCS (2013) — 25 citations
• Intrinsically Motivated Evolutionary Search for Vision-Based Reinforcement Learning (2011) — 18 citations