Elliot Creager
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Safety Research top 10%
- Health Informatics top 10%
- Information Systems
- Co-authors
- Richard S. ZemelToniann PitassiDavid MadrasJoern-Henrik JacobsenKevin SwerskyChun‐Hao ChangDavid DuvenaudAnna Goldenberg
- Topics
- Explainable Artificial Intelligence (XAI) (5 papers)Generative Adversarial Networks and Image Synthesis (2 papers)Advanced Causal Inference Techniques (2 papers)
- Journals
- PuSH - Publication Server of Helmholtz Zentrum MünchenarXiv (Cornell University)International Conference on Machine Learning
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Elliot Creager
10 papers receiving 161 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 131
- Computer Vision and Pattern Recognition 45
- Safety Research 40
- Health Informatics 14
- Information Systems 13
Countries citing papers authored by Elliot Creager
This map shows the geographic impact of Elliot Creager's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elliot Creager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elliot Creager more than expected).
Fields of papers citing papers by Elliot Creager
This network shows the impact of papers produced by Elliot Creager. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elliot Creager. The network helps show where Elliot Creager may publish in the future.
Co-authorship network of co-authors of Elliot Creager
This figure shows the co-authorship network connecting the top 25 collaborators of Elliot Creager. A scholar is included among the top collaborators of Elliot Creager based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elliot Creager. Elliot Creager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Environment Inference for Invariant Learning | 25 |
| 3 | On Disentangled Representations Learned from Correlated Data | 6 |
| 4 | Is Independence all you need? On the Generalization of Representations Learned from Correlated Data | 1 |
| 5 | Causal Modeling for Fairness In Dynamical Systems | 1 |
| 6 | 6 | |
| 7 | 44 | |
| 8 | 46 | |
| 9 | Explaining Image Classifiers by Adaptive Dropout and Generative In-filling. | 2 |
| 10 | Gradient-based Optimization of Neural Network Architecture. | 5 |
| 11 | 29 |
About Elliot Creager
Elliot Creager is a scholar working on Biophysics, Computer Graphics and Computer-Aided Design and Statistics and Probability, having authored 11 papers that have together received 166 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (5 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Health Informatics (14 citations), Safety Research (40 citations) and Artificial Intelligence (131 citations). Elliot Creager has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Richard S. Zemel, Toniann Pitassi, David Madras, Joern-Henrik Jacobsen, Kevin Swersky, Chun‐Hao Chang, David Duvenaud, Anna Goldenberg, Jörn-Henrik Jacobsen and Will Grathwohl. Their work appears in journals such as PuSH - Publication Server of Helmholtz Zentrum München, arXiv (Cornell University) and International Conference on Machine Learning.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.