Antonio Artés-Rodríguez

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 Antonio Artés-Rodríguez 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. Neil D. Lawrence
6. Matthew J. Beal
7. Emmanouil A. Varouchakis
8. Yee Whye Teh
9. Amir Dezfouli
10. Matthias W. Seeger

Papers from Antonio Artés-Rodríguez's perspective

Ordered by how strongly the researchers Antonio Artés-Rodríguez 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. Learning Multiple Layers of Features from Tiny Images
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

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