Tim Salimans
Impact in
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- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Media Technology top 1%
- Advanced Image Fusion Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 5
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- Gaussian Processes and Bayesian Inference 2
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Diederik P. Kingma (6 shared papers)Jonathan Ho (3 shared papers)William Chan (1 shared paper)David J. Fleet (1 shared paper)Mohammad Norouzi (1 shared paper)Chitwan Saharia (1 shared paper)Max Welling (3 shared papers)Ilya Sutskever (3 shared papers)
- Journals
- Journal of Econometrics (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)International Conference on Learning Representations (1 paper)EUR Research Repository (Erasmus University Rotterdam) (1 paper)UvA-DARE (University of Amsterdam) (2 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Tim Salimans
12 papers receiving 1.9k citations
Tim Salimans's 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-authors
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 | Image Super-Resolution Via Iterative Refinement Hit paper breakdown → | 2022 | 1022 |
| 2 | Improved Variational Inference with Inverse Autoregressive Flow Hit paper breakdown → | 2016 | 293 |
| 3 | Weight normalization: a simple reparameterization to accelerate training of deep neural networks | 2016 | 263 |
| 4 | 2015 | 160 | |
| 5 | On Distillation of Guided Diffusion Models Hit paper breakdown → | 2023 | 117 |
| 6 | 2016 | 89 | |
| 7 | Improving Variational Autoencoders with Inverse Autoregressive Flow | 2016 | 16 |
| 8 | 2012 | 12 | |
| 9 | 2012 | 3 | |
| 10 | 2021 | 2 | |
| 11 | On Density Estimation with Diffusion Models | 2021 | 1 |
| 12 | Collaborative Learning of Preference Relations | 2012 | 1 |
| 13 | On the relationship between Normalising Flows and Variational- and Denoising Autoencoders. | 2019 | 0 |
| 14 | 2025 | 0 |
About Tim Salimans
Tim Salimans is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Computational Theory and Mathematics, 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), Data Management and Algorithms (2 papers), Multi-Criteria Decision Making (2 papers), Rough Sets and Fuzzy Logic (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Model Reduction and Neural Networks (2 papers), Domain Adaptation and Few-Shot Learning (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), Computer Graphics and Computer-Aided Design (107 citations), Artificial Intelligence (673 citations) and Signal Processing (169 citations). Tim Salimans has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Diederik P. Kingma, Jonathan Ho, William Chan, David J. Fleet, Mohammad Norouzi, Chitwan Saharia, Max Welling, Ilya Sutskever, Rafał Józefowicz and Xi Chen. Their work appears in journals such as Journal of Econometrics, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Conference on Learning Representations, EUR Research Repository (Erasmus University Rotterdam) and UvA-DARE (University of Amsterdam).
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.