Jan Lemeire

Artificial Intelligence · 2006–2013

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #14,864 of 35,345 by trust here, #13,544 by citations
• Causal Inference & Discovery — 10 citations into it; #87 of 364 by trust here, #82 by citations
• Probabilistic & Bayesian Methods — 6 citations into it; #572 of 1,525 by trust here, #978 by citations
• Statistics and Probability — 6 citations into it

Whom Jan Lemeire trusts overall

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

1. Constantin F. Aliferis
2. Ioannis Tsamardinos
3. Alexander R. Statnikov
4. Bernhard Schölkopf
5. Tom Fawcett
6. Franccois Fleuret
7. Dominik Janzing
8. Isabelle M Guyon
9. Ron Kohavi
10. Judea Pearl

Who trusts Jan Lemeire overall

1. Dominik Janzing
2. Bernhard Schölkopf
3. Joris M. Mooij
4. David Lopez-Paz
5. Jan Peters
6. Kun Zhang
7. Jovana Mitrovi'c
8. Bastian Steudel
9. Dino Sejdinovic
10. Alexander Marx

Papers from Jan Lemeire's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Nonlinear causal discovery with additive noise models
5. Probabilistic reasoning in intelligent systems - networks of plausible inference
6. Causation
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. Advances in kernel methods: support vector learning
10. Long Short-Term Memory

Their papers

• Information-geometric approach to inferring causal directions (2012) — 317 citations
• Algorithms for Discovery of Multiple Markov Boundaries (2013) — 89 citations
• Causal Models as Minimal Descriptions of Multivariate Systems (2006)