Adrian Llopart Maurin

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Probabilistic & Bayesian Methods — 23 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Optimization & Training — 16 citations into it
• Model Architectures — 10 citations into it

Whom Adrian Llopart Maurin trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Alex Graves
4. Diederik P. Kingma
5. Yann LeCun
6. Radford M. Neal
7. Yoshua Bengio
8. Ilya Sutskever
9. Huaiyu Zhu
10. David John Cameron MacKay

Papers from Adrian Llopart Maurin's perspective

Ordered by how strongly the researchers Adrian Llopart Maurin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Bayesian Convolutional Neural Networks (2018) — 23 citations
• Bayesian Convolutional Neural Networks with Variational Inference (2018) — 19 citations