Robert E. Tillman
Artificial Intelligence · 2009–2011
A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Causal Inference & Discovery — 8 citations into it; #155 of 364 by trust here, #288 by citations
- Probabilistic & Bayesian Methods — 6 citations into it
- Statistics and Probability — 6 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Robert E. Tillman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tom L. Burr
- Peter Spirtes
- Christopher Meek
- Arthur Gretton
- Patrik O. Hoyer
- David Maxwell Chickering
- Thomas S. Richardson
- J. Gerring
- Kenji Fukumizu
- Bernhard Schölkopf
Who trusts Robert E. Tillman overall
- Jan Peters
- Joris M. Mooij
- Antti Hyttinen
- Kun Zhang
- Dino Sejdinovic
- Yuhao Wang
- Dominik Janzing
- Bernhard Schölkopf
- Peter Buhlmann
- Frederick Eberhardt
Papers from Robert E. Tillman's perspective
Ordered by how strongly the researchers Robert E. Tillman trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)
- Causality : Models , Reasoning , and Inference
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database