Robert Leenders

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 10 citations into it; #5,317 of 12,932 by trust here, #7,914 by citations
• Probabilistic & Bayesian Methods — 9 citations into it
• Artificial Intelligence — 8 citations into it; #14,514 of 35,345 by trust here, #26,682 by citations

Whom Robert Leenders trusts overall

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

1. Scott Anthony Sisson
2. Yanan Fan
3. Max Welling
4. Simon N. Wood
5. James C. Spall
6. Christophe Andrieu
7. J. Kiefer
8. Edward Meeds
9. MARK A. Beaumont
10. Tianqi Chen

Who trusts Robert Leenders overall

1. George Papamakarios
2. Gilles Louppe
3. Matthew M. Graham
4. Iain Murray
5. J. Brehmer
6. A. Berger
7. Kyle Cranmer
8. Heiko Strathmann
9. Jan-Matthis Lueckmann

Papers from Robert Leenders's perspective

Ordered by how strongly the researchers Robert Leenders trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bayesian Learning via Stochastic Gradient Langevin Dynamics
2. Hybrid Monte Carlo
3. Sequential Monte Carlo without likelihoods
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. ImageNet classification with deep convolutional neural networks
7. Stochastic Gradient Hamiltonian Monte Carlo
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Statistical inference for noisy nonlinear ecological dynamic systems
10. Markov chain Monte Carlo without likelihoods

Their papers

• Hamiltonian ABC (2015) — 32 citations