J. Riquelme

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 J. Riquelme trusts overall

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

1. Diederik P. Kingma

Papers from J. Riquelme's perspective

Ordered by how strongly the researchers J. Riquelme 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. WaveNet: A Generative Model for Raw Audio
6. Multi-Scale Context Aggregation by Dilated Convolutions
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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