Juan Miguel Arrazola

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 100 citations into it
• Atomic and Molecular Physics, and Optics — 63 citations into it

Whom Juan Miguel Arrazola trusts overall

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

1. Nathan Killoran
2. Yazhen Wang
3. Michel H. Devoret
4. Eleni Diamanti
5. Maria Schuld
6. Valerio Scarani
7. Antonio Acín
8. Diederik P. Kingma
9. Danilo Jimenez Rezende
10. Jianwei Wang

Papers from Juan Miguel Arrazola's perspective

Ordered by how strongly the researchers Juan Miguel Arrazola 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Backpropagation Applied to Handwritten Zip Code Recognition
6. Quantum Computation and Quantum Information
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning representations by back-propagating errors
10. Automatic differentiation in PyTorch

Their papers

• Quantum circuits with many photons on a programmable nanophotonic chip (2021) — 562 citations
• Continuous-variable quantum neural networks (2018) — 446 citations
• Progress in satellite quantum key distribution (2017) — 412 citations