AmirEmad Ghassami

Causal Inference & Discovery · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Causal Inference & Discovery — 24 citations into it
• Artificial Intelligence — 20 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Statistics and Probability — 9 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom AmirEmad Ghassami trusts overall

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

1. Peter Spirtes
2. Tom L. Burr
3. Dominik Janzing
4. Jan Peters
5. David Maxwell Chickering
6. J. Gerring
7. Daphne Koller
8. Bernhard Schölkopf
9. Kun Zhang
10. Kenneth A. Bollen

Who trusts AmirEmad Ghassami overall

1. Biwei Huang
2. Kun Zhang
3. Chandler Squires
4. M. Matchado
5. Mingming Gong
6. Yuhao Wang
7. Clark Glymour
8. Michael Lauber
9. Divyansh Kaushik

Papers from AmirEmad Ghassami's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Et al
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. GENERATIVE ADVERSARIAL NETS
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Causation, Prediction, and Search
10. Causality : Models , Reasoning , and Inference

Their papers

• Learning Causal Structures Using Regression Invariance (2017) — 74 citations
• Interaction information for causal inference: The case of directed triangle (2017) — 27 citations
• Multi-domain Causal Structure Learning in Linear Systems (2018) — 65 citations