Andrés Romero

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Generative Models — 28 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Andrés Romero trusts overall

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

1. Jonathan Ho
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Kaiming He
6. Prafulla Dhariwal
7. Yoshua Bengio
8. Yann LeCun
9. Alex Nichol
10. Individualized Treat

Papers from Andrés Romero's perspective

Ordered by how strongly the researchers Andrés Romero 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. ImageNet Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• RePaint: Inpainting using Denoising Diffusion Probabilistic Models (2022) — 2,174 citations