Philippe Caillou

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Causal Inference & Discovery — 15 citations into it

Whom Philippe Caillou trusts overall

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

1. Jan Peters
2. Tom L. Burr
3. Diego Colombo
4. Arthur Gretton
5. David Lopez-Paz
6. David Maxwell Chickering
7. George V. Cybenko
8. Curriculum Vitae
9. Marloes H. Maathuis
10. Bernhard Schölkopf

Who trusts Philippe Caillou overall

1. Diviyan Kalainathan

Papers from Philippe Caillou's perspective

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

1. Et al
2. ImageNet classification with deep convolutional neural networks
3. Causality : Models , Reasoning , and Inference
4. Deep Learning
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Causation, Prediction, and Search
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Optimal Structure Identification With Greedy Search
9. Gradient-based learning applied to document recognition
10. Nonlinear causal discovery with additive noise models

Their papers

• Causal Generative Neural Networks (2017) — 69 citations
• Graph inference datasets. Replication Data for: "Learning Functional Causal Models with Generative Neural Networks" (2017) — 35 citations