Marc E. Maier

Artificial Intelligence · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #24,175 of 35,345 by trust here, #31,361 by citations
• Probabilistic & Bayesian Methods — 6 citations into it
• Causal Inference & Discovery — 5 citations into it

Whom Marc E. Maier trusts overall

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

1. Tom L. Burr
2. Christopher Meek
3. Patrik O. Hoyer
4. Jan Peters
5. Peter M. Bentler
6. Matthew Richardson
7. B. Taskar
8. Dominik Janzing
9. Ioannis Tsamardinos
10. Shohei Shimizu

Who trusts Marc E. Maier overall

1. Andreas Holzinger
2. Chris Biemann
3. Constantinos S. Pattichis
4. Douglas B. Kell
5. Katerina Marazopoulou

Papers from Marc E. Maier's perspective

Ordered by how strongly the researchers Marc E. Maier 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Causality : Models , Reasoning , and Inference
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Learning Causal Models of Relational Domains (2010) — 48 citations
• A Sound and Complete Algorithm for Learning Causal Models from Relational Data (2013) — 62 citations