Lorenzo Buffoni

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Artificial Intelligence — 36 citations into it
• Generative Models — 31 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Lorenzo Buffoni trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Yoshua Bengio
4. Radford M. Neal
5. Geoffrey E. Hinton
6. Yann LeCun
7. Aäron van den Oord
8. Danilo Jimenez Rezende
9. Tim Salimans
10. Ruslan Salakhutdinov

Papers from Lorenzo Buffoni's perspective

Ordered by how strongly the researchers Lorenzo Buffoni 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• PixelVAE++: Improved PixelVAE with Discrete Prior (2019) — 34 citations
• Deep learning and alignment of spatially-resolved single cell transcriptomes with Tangram (2021) — 721 citations