Heiko Strathmann
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Bayesian Methods and Mixture Models
- Anomaly Detection Techniques and Applications
- Gaussian Processes and Bayesian Inference
Papers in
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- Gaussian Processes and Bayesian Inference 4
- Bayesian Methods and Mixture Models 2
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- Markov Chains and Monte Carlo Methods 5
- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
- Advanced Statistical Methods and Models 1
- Co-authors
- Arthur Gretton (6 shared papers)Dino Sejdinović (4 shared papers)Sivaraman Balakrishnan (1 shared paper)Massimiliano Pontil (1 shared paper)Bharath K. Sriperumbudur (1 shared paper)Kenji Fukumizu (1 shared paper)Christophe Andrieu (2 shared papers)Yves F. Atchadé (2 shared papers)
- Journals
- Journal of Virology (1 paper)Statistical Science (1 paper)IEEE Access (1 paper)International Conference on Machine Learning (2 papers)UCL Discovery (University College London) (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Heiko Strathmann
14 papers receiving 529 citations
Heiko Strathmann's Hit Papers
Peers
Comparison fields: 5 of 97
- Statistics and Probability 104
- Artificial Intelligence 279
- Computer Vision and Pattern Recognition 127
- Computer Graphics and Computer-Aided Design 15
- Statistics, Probability and Uncertainty 24
Countries citing papers authored by Heiko Strathmann
This map shows the geographic impact of Heiko Strathmann'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 Heiko Strathmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko Strathmann more than expected).
Fields of papers citing papers by Heiko Strathmann
This network shows the impact of papers produced by Heiko Strathmann. 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 Heiko Strathmann. The network helps show where Heiko Strathmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Heiko Strathmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Optimal kernel choice for large-scale two-sample tests Hit paper breakdown → | 2012 | 316 |
| 2 | 31st International Conference on Machine Learning, ICML 2014 | 2014 | 76 |
| 3 | 2015 | 45 | |
| 4 | 2016 | 23 | |
| 5 | NeRF-VAE: A Geometry Aware 3D Scene Generative Model | 2021 | 19 |
| 6 | 2011 | 19 | |
| 7 | 2015 | 14 | |
| 8 | Playing Russian Roulette with Intractable Likelihoods | 2013 | 9 |
| 9 | 2013 | 9 | |
| 10 | Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series | 2018 | 7 |
| 11 | 2021 | 3 | |
| 12 | 2017 | 1 | |
| 13 | Persistent Message Passing | 2021 | 1 |
| 14 | Efficient and principled score estimation. | 2017 | 1 |
About Heiko Strathmann
Heiko Strathmann is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 14 papers that have together received 543 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (5 papers), Gaussian Processes and Bayesian Inference (4 papers), Time Series Analysis and Forecasting (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Bayesian Methods and Mixture Models (2 papers) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Statistics and Probability (104 citations), Artificial Intelligence (279 citations), Computer Vision and Pattern Recognition (127 citations), Computer Graphics and Computer-Aided Design (15 citations) and Statistics, Probability and Uncertainty (24 citations). Heiko Strathmann has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Arthur Gretton, Dino Sejdinović, Sivaraman Balakrishnan, Massimiliano Pontil, Bharath K. Sriperumbudur, Kenji Fukumizu, Christophe Andrieu, Yves F. Atchadé, Mark Girolami and Daniel Simpson. Their work appears in journals such as Journal of Virology, Statistical Science, IEEE Access, International Conference on Machine Learning and UCL Discovery (University College London).
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.