Matthew James Vowels

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 115 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 99 citations into it
• Causal Inference & Discovery — 39 citations into it
• Statistics and Probability — 26 citations into it
• Probabilistic & Bayesian Methods — 22 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Computational Theory and Mathematics — 15 citations into it
• Molecular Biology — 15 citations into it
• Representation & Self-Supervised Learning — 14 citations into it

Whom Matthew James Vowels trusts overall

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

1. Diederik P. Kingma
2. Jan Peters
3. Yoshua Bengio
4. Bernhard Schölkopf
5. Aapo Hyvärinen
6. Geoffrey E. Hinton
7. Dominik Janzing
8. Max Welling
9. Alex Krizhevsky
10. Danilo Jimenez Rezende

Papers from Matthew James Vowels's perspective

Ordered by how strongly the researchers Matthew James Vowels 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery (2021) — 400 citations