Renato Berlinghieri

Generative Models · 2022

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 19 citations into it; #1,718 of 1,956 by trust here, #1,843 by citations
• Computer Vision and Pattern Recognition — 17 citations into it; #18,955 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 9 citations into it
• Statistical and Nonlinear Physics — 7 citations into it; #8,662 of 10,127 by trust here, #8,120 by citations

Whom Renato Berlinghieri trusts overall

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

1. Yang Song
2. Diederik P. Kingma
3. Jonathan Ho
4. Geoffrey E. Hinton
5. Arash Vahdat
6. Alex Krizhevsky
7. Yoshua Bengio
8. Yilun Du
9. Stefano Ermon

Who trusts Renato Berlinghieri overall

1. Troy Luhman

Papers from Renato Berlinghieri's perspective

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

Their papers

• Subspace Diffusion Generative Models (2022) — 92 citations