David Luengo

Artificial Intelligence · 2009–2015

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Probabilistic & Bayesian Methods — 19 citations into it
• Statistics and Probability — 19 citations into it

Whom David Luengo trusts overall

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

1. Neil D. Lawrence
2. D. Higdon
3. Mauricio A Álvarez
4. Phillip Boyle
5. Andrei D. Polyanin
6. Joaquin Quiñonero Candela
7. Olivier Capp'e
8. Edward Snelson
9. Tim Hesterberg
10. Christopher K. I. Williams

Who trusts David Luengo overall

1. Mauricio A Álvarez
2. Jared D. Willard
3. Neil D. Lawrence
4. Ching-An Cheng
5. Lorenzo Rosasco
6. Luca Baldassarre
7. M. Wheeler
8. Xiaowei Jia

Papers from David Luengo's perspective

Ordered by how strongly the researchers David Luengo 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. Sparse Gaussian Processes using Pseudo-inputs
7. Probabilistic Principal Component Analysis
8. In Advances in Neural Information Processing Systems
9. Fast Forward Selection to Speed Up Sparse Gaussian Process Regression
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Generalized Multiple Importance Sampling (2015) — 169 citations
• MCMC-Driven Adaptive Multiple Importance Sampling (2015) — 14 citations
• Efficient Multioutput Gaussian Processes through Variational Inducing Kernels (2010) — 142 citations
• Latent Force Models (2009) — 222 citations