Daniel de Souza Severo

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Generative Models — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Daniel de Souza Severo trusts overall

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

1. Yang Song
2. Aapo Hyvärinen
3. Felix Otto
4. Cédric Villani
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Jonathan Ho
8. Stefano Ermon
9. Alex Krizhevsky
10. Olaf Ronneberger

Papers from Daniel de Souza Severo's perspective

Ordered by how strongly the researchers Daniel de Souza Severo 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. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples (2022) — 31 citations