Elliot Creager

746 total citations
11 papers, 166 citations indexed

About

Elliot Creager is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Elliot Creager has authored 11 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Biophysics. Recurrent topics in Elliot Creager's work include Explainable Artificial Intelligence (XAI) (5 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Causal Inference Techniques (2 papers). Elliot Creager is often cited by papers focused on Explainable Artificial Intelligence (XAI) (5 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Causal Inference Techniques (2 papers). Elliot Creager collaborates with scholars based in Canada, United States and Germany. Elliot Creager's 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 and has published in prestigious journals such as PuSH - Publication Server of Helmholtz Zentrum München, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Elliot Creager

10 papers receiving 161 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Elliot Creager Canada	6	131	45	40	14	13	11	166
David Madras Canada	4	88 0.7×	21 0.5×	52 1.3×	19 1.4×	9 0.7×	9	133
John Aslanides United Kingdom	4	142 1.1×	22 0.5×	27 0.7×	17 1.2×	18 1.4×	5	182
Matthäus Kleindeßner Germany	8	59 0.5×	27 0.6×	30 0.8×	10 0.7×	5 0.4×	12	119
Vasileios Iosifidis Germany	5	134 1.0×	11 0.2×	62 1.6×	9 0.6×	16 1.2×	7	176
Francis Song United States	3	106 0.8×	16 0.4×	20 0.5×	17 1.2×	18 1.4×	4	148
Nikita Nangia United States	5	268 2.0×	73 1.6×	9 0.2×	12 0.9×	23 1.8×	10	293
Andrei Kapishnikov United States	3	129 1.0×	47 1.0×	6 0.1×	15 1.1×	9 0.7×	3	177
Amelia Glaese United States	4	100 0.8×	15 0.3×	22 0.6×	17 1.2×	18 1.4×	6	145
Josh Gardner United States	6	81 0.6×	9 0.2×	24 0.6×	6 0.4×	15 1.2×	13	148
Mikhail Yurochkin United States	6	138 1.1×	20 0.4×	8 0.2×	4 0.3×	13 1.0×	19	169

Countries citing papers authored by Elliot Creager

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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11 of 11 papers shown

Creager, Elliot, et al.. (2023). SurfsUp: Learning Fluid Simulation for Novel Surfaces. 14179–14189. 1 indexed citations

Creager, Elliot, Joern-Henrik Jacobsen, & Richard S. Zemel. (2021). Environment Inference for Invariant Learning. International Conference on Machine Learning. 2189–2200. 25 indexed citations

Creager, Elliot, Niki Kilbertus, Francesco Locatello, et al.. (2021). On Disentangled Representations Learned from Correlated Data. PuSH - Publication Server of Helmholtz Zentrum München. 10401–10412. 6 indexed citations

Creager, Elliot, Niki Kilbertus, Anirudh Goyal, et al.. (2020). Is Independence all you need? On the Generalization of Representations Learned from Correlated Data. arXiv (Cornell University). 1 indexed citations

Creager, Elliot, David Madras, Toniann Pitassi, & Richard S. Zemel. (2020). Causal Modeling for Fairness In Dynamical Systems. International Conference on Machine Learning. 1. 2185–2195. 1 indexed citations

Mladenov, Martin, et al.. (2020). Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. arXiv (Cornell University). 1. 6987–6998. 6 indexed citations

Madras, David, Elliot Creager, Toniann Pitassi, & Richard S. Zemel. (2019). Fairness through Causal Awareness. 349–358. 44 indexed citations

Creager, Elliot, David Madras, Jörn-Henrik Jacobsen, et al.. (2019). Flexibly Fair Representation Learning by Disentanglement. arXiv (Cornell University). 1436–1445. 46 indexed citations

Chang, Chun‐Hao, Elliot Creager, Anna Goldenberg, & David Duvenaud. (2018). Explaining Image Classifiers by Adaptive Dropout and Generative In-filling.. arXiv (Cornell University). 2 indexed citations

10.

Grathwohl, Will, Elliot Creager, Seyed Kamyar Seyed Ghasemipour, & Richard S. Zemel. (2018). Gradient-based Optimization of Neural Network Architecture.. International Conference on Learning Representations. 5 indexed citations

11.

Chang, Chun‐Hao, Elliot Creager, Anna Goldenberg, & David Duvenaud. (2018). Explaining Image Classifiers by Counterfactual Generation. arXiv (Cornell University). 29 indexed citations

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.

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