Michelangelo Diligenti

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #18,967 of 35,345 by trust here, #21,878 by citations
• Probabilistic & Bayesian Methods — 10 citations into it

Whom Michelangelo Diligenti trusts overall

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

1. Arthur P. Dempster
2. Matthew Richardson
3. Lise Getoor
4. Luc De Raedt
5. Stephen H. Bach
6. Pedro M. Domingos
7. Yoshua Bengio
8. Bernhard E. Boser
9. Jon M. Kleinberg
10. Geoffrey E. Hinton

Who trusts Michelangelo Diligenti overall

1. Steve Lawrence
2. Robin Manhaeve
3. Giuseppe Marra
4. Vladislav Shkapenyuk
5. Luc De Raedt
6. Yatin Nandwani
7. Charu C. Aggarwal
8. Yufei Feng
9. Francesco Giannini
10. Sebastijan Dumancic

Papers from Michelangelo Diligenti's perspective

Ordered by how strongly the researchers Michelangelo Diligenti 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Semantic-based regularization for learning and inference (2017) — 192 citations
• On a Convex Logic Fragment for Learning and Reasoning (2018) — 20 citations
• Integrating Learning and Reasoning with Deep Logic Models (2019) — 65 citations
• Focused Crawling Using Context Graphs (2000) — 687 citations