Pablo de Castro

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• AI for Physical Sciences — 6 citations into it

Whom Pablo de Castro trusts overall

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

1. Kyle Cranmer
2. Gilles Louppe
3. Bai Jiang
4. Radford M. Neal
5. Juan Pavez
6. J. Brehmer
7. Joshua V. Dillon
8. G. Cowan
9. Michael Kagan
10. Tung-Yu Wu

Who trusts Pablo de Castro overall

1. Kyle Cranmer

Papers from Pablo de Castro's perspective

Ordered by how strongly the researchers Pablo de Castro trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. GENERATIVE ADVERSARIAL NETS
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Et al
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• INFERNO: Inference-Aware Neural Optimisation (2018) — 57 citations