José María Luna-Romera

Management Science and Operations Research · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Model Architectures — 8 citations into it

Whom José María Luna-Romera trusts overall

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

1. Diederik P. Kingma
2. Vinod Nair
3. Geoffrey E. Hinton

Papers from José María Luna-Romera's perspective

Ordered by how strongly the researchers José María Luna-Romera 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. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Rectified Linear Units Improve Restricted Boltzmann Machines
5. ImageNet classification with deep convolutional neural networks
6. WaveNet: A Generative Model for Raw Audio
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Multi-Scale Context Aggregation by Dilated Convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting (2020) — 299 citations