Juan Miguel Lopez Alcaraz

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Signal Processing — 15 citations into it
• Generative Models — 13 citations into it
• Model Architectures — 7 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Management Science and Operations Research — 6 citations into it
• Time-Series & Forecasting — 5 citations into it

Whom Juan Miguel Lopez Alcaraz trusts overall

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

1. Diederik P. Kingma
2. Albert Gu
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Dzmitry Bahdanau
6. Yang Song
7. Alex Krizhevsky
8. Jonathan Ho
9. Ilya Sutskever
10. Kaiming He

Who trusts Juan Miguel Lopez Alcaraz overall

1. Hanqun Cao
2. Ling Yang
3. Cheng Tan
4. Zhilong Zhang

Papers from Juan Miguel Lopez Alcaraz's perspective

Ordered by how strongly the researchers Juan Miguel Lopez Alcaraz 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models (2022) — 302 citations