Jordi Vitrià

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #24,724 of 35,345 by trust here, #31,361 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #15,307 of 21,575 by trust here, #19,766 by citations
• Safety, Robustness & Interpretability — 6 citations into it
• Generative Models — 5 citations into it

Whom Jordi Vitrià trusts overall

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

1. Diederik P. Kingma
2. Mukund Sundararajan
3. Peter M. Bentler
4. Murat Kocaoglu
5. Max Welling
6. Geoffrey E. Hinton
7. Matthew D. Zeiler

Who trusts Jordi Vitrià overall

1. Divyat Mahajan
2. Matthew R. O'Shaughnessy

Papers from Jordi Vitrià's perspective

Ordered by how strongly the researchers Jordi Vitrià 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Visualizing and Understanding Convolutional Networks

Their papers

• Explaining Visual Models by Causal Attribution (2019) — 39 citations