M. J. van der Woerd

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #27,569 of 35,345 by trust here, #34,943 by citations
• Statistics and Probability — 17 citations into it; #10,327 of 12,932 by trust here, #12,603 by citations

Whom M. J. van der Woerd trusts overall

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

1. S. Jammalamadaka
2. Radford M. Neal
3. David M. Blei
4. Hagai Thomas Attias
5. Nicholas I. Fisher
6. Juergen Landes
7. John Thomas Ormerod
8. Tommi S. Jaakkola
9. Matt P. Wand
10. Michael I. Jordan

Who trusts M. J. van der Woerd overall

1. David M. Blei
2. Alp Kucukelbir
3. Jon D. McAuliffe

Papers from M. J. van der Woerd's perspective

Ordered by how strongly the researchers M. J. van der Woerd trusts endorse each paper. Same corpus, a different order for every researcher.

1. Graphical Models, Exponential Families, and Variational Inference
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. On Information and Sufficiency
7. A Variational Bayesian Framework for Graphical Models
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. A Variational Approach to Bayesian Logistic Regression Models and their Extensions

Their papers

• Laplace Variational Approximation for Semiparametric Regression in the Presence of Heteroskedastic Errors (2016) — 5 citations
• The General Projected Normal Distribution of Arbitrary Dimension: Modeling and Bayesian Inference (2017) — 51 citations