Joaquin Quiñonero-Candela

Probabilistic & Bayesian Methods · with Rasmussen · 2003–2009

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

Subfields

• Probabilistic & Bayesian Methods — 8 citations into it

Whom Joaquin Quiñonero-Candela trusts overall

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

1. Manfred Opper
2. Matthias W. Seeger
3. Volker Tresp
4. Alex Smola
5. Lehel Csató
6. Edward Snelson
7. Malte Kuss
8. Ji Zhu
9. Christopher K. I. Williams
10. Radford M. Neal

Who trusts Joaquin Quiñonero-Candela overall

1. Zachary Chase Lipton
2. Adarsh Subbaswamy
3. Haohan Wang
4. Kun Zhang
5. Jose Garcia Moreno-Torres
6. Mingming Gong
7. Lukas Hewing
8. Haitao Liu
9. Edwin V. Bonilla
10. Tobias Jung

Papers from Joaquin Quiñonero-Candela's perspective

Ordered by how strongly the researchers Joaquin Quiñonero-Candela 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. Bayesian learning for neural networks
5. Learning Multiple Layers of Features from Tiny Images
6. In Advances in Neural Information Processing Systems
7. Support-Vector Networks
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Approximation Methods for Gaussian Process Regression (2007) — 202 citations
• When Training and Test Sets Are Different: Characterizing Learning Transfer (2009) — 310 citations
• Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty (2003) — 83 citations