Tim Salimans
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- Generative Adversarial Networks and Image Synthesis 5
- Media Technology top 1%
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning 2
- Gaussian Processes and Bayesian Inference 2
- Signal Processing top 5%
- Data Management and Algorithms 2
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- Multi-Criteria Decision Making 2
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- Rough Sets and Fuzzy Logic 2
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- Model Reduction and Neural Networks 2
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- Global trade and economics 1
- Co-authors
- Diederik P. KingmaJonathan HoMohammad NorouziChitwan SahariaWilliam ChanDavid J. FleetMax WellingIlya Sutskever
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- Journal of Econometrics (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)EUR Research Repository (Erasmus University Rotterdam) (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Tim Salimans
12 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 285
- Computer Graphics and Computer-Aided Design 107
- Artificial Intelligence 673
- Signal Processing 169
Countries citing papers authored by Tim Salimans
This map shows the geographic impact of Tim Salimans'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 Tim Salimans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Salimans more than expected).
Fields of papers citing papers by Tim Salimans
This network shows the impact of papers produced by Tim Salimans. 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 Tim Salimans. The network helps show where Tim Salimans may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tim Salimans, 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 | 2025 | 0 | |
| 2 | On Distillation of Guided Diffusion Modelsbreakdown → | 2023 | 117 |
| 3 | Image Super-Resolution Via Iterative Refinementbreakdown → | 2022 | 1022 |
| 4 | On Density Estimation with Diffusion Models | 2021 | 1 |
| 5 | 2021 | 2 | |
| 6 | On the relationship between Normalising Flows and Variational- and Denoising Autoencoders. | 2019 | 0 |
| 7 | Weight normalization: a simple reparameterization to accelerate training of deep neural networks | 2016 | 263 |
| 8 | Improved Variational Inference with Inverse Autoregressive Flowbreakdown → | 2016 | 293 |
| 9 | Improving Variational Autoencoders with Inverse Autoregressive Flow | 2016 | 16 |
| 10 | 2016 | 89 | |
| 11 | 2015 | 160 | |
| 12 | Collaborative Learning of Preference Relations | 2012 | 1 |
| 13 | 2012 | 12 | |
| 14 | 2012 | 3 |
About Tim Salimans
Tim Salimans is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Statistics and Probability, having authored 14 papers that have together received 2.0k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Multi-Criteria Decision Making (2 papers), Rough Sets and Fuzzy Logic (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Data Management and Algorithms (2 papers), Model Reduction and Neural Networks (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Global trade and economics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (285 citations) and Computer Graphics and Computer-Aided Design (107 citations). Tim Salimans has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Diederik P. Kingma, Jonathan Ho, Mohammad Norouzi, Chitwan Saharia, William Chan, David J. Fleet, Max Welling, Ilya Sutskever, Xi Chen and Rafał Józefowicz. Their work appears in journals such as Journal of Econometrics, IEEE Transactions on Pattern Analysis and Machine Intelligence, EUR Research Repository (Erasmus University Rotterdam), UvA-DARE (University of Amsterdam) and arXiv (Cornell University).
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.