Pablo Moreno-Muñoz

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it

Whom Pablo Moreno-Muñoz trusts overall

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

1. James Hensman
2. Michalis K. Titsias
3. Mauricio A Álvarez
4. Thang D. Bui
5. Matthew J. Beal
6. Neil D. Lawrence
7. Emmanouil A. Varouchakis
8. Amir Dezfouli
9. Yee Whye Teh
10. Matthias W. Seeger

Papers from Pablo Moreno-Muñoz's perspective

Ordered by how strongly the researchers Pablo Moreno-Muñoz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Continual Multi-task Gaussian Processes (2019) — 14 citations