Jacopo Castellini

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Reinforcement Learning — 25 citations into it
• Computer Networks and Communications — 7 citations into it
• Information Systems — 5 citations into it
• Signal Processing — 5 citations into it

Whom Jacopo Castellini trusts overall

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

1. Carlos Guestrin
2. Volodymyr Mnih
3. Jakob N. Foerster
4. Mayu Sakurada
5. John C. Duchi
6. Graham J. Williams
7. Simon Hawkins
8. Pascal Vincent
9. Chao Yang
10. Gianluca Stringhini

Who trusts Jacopo Castellini overall

1. Wendelin Böhmer
2. Yihan Wang
3. Vitaly Kurin
4. Beining Han

Papers from Jacopo Castellini's perspective

Ordered by how strongly the researchers Jacopo Castellini 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Human-level control through deep reinforcement learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning (2019) — 45 citations
• Fake Twitter followers detection by denoising autoencoder (2017) — 32 citations