Didrik Nielsen
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design
- Control and Systems Engineering
- Computational Mechanics
- Co-authors
- Priyank JainiEmiel HoogeboomMax WellingMark SchmidtPatrick ForréMohammad Emtiyaz KhanOle Winther
- Topics
- Generative Adversarial Networks and Image Synthesis (2 papers)Gaussian Processes and Bayesian Inference (2 papers)Time Series Analysis and Forecasting (1 paper)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- UvA-DARE (University of Amsterdam)arXiv (Cornell University)
- Partner nations
- DenmarkNetherlandsGermany
In The Last Decade
Didrik Nielsen
4 papers receiving 23 citations
Peers
Comparison fields: 5 of 10
- Computer Vision and Pattern Recognition 15
- Artificial Intelligence 14
- Computer Graphics and Computer-Aided Design 3
- Control and Systems Engineering 2
- Computational Mechanics 2
Countries citing papers authored by Didrik Nielsen
This map shows the geographic impact of Didrik Nielsen'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 Didrik Nielsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didrik Nielsen more than expected).
Fields of papers citing papers by Didrik Nielsen
This network shows the impact of papers produced by Didrik Nielsen. 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 Didrik Nielsen. The network helps show where Didrik Nielsen may publish in the future.
Co-authorship network of co-authors of Didrik Nielsen
This figure shows the co-authorship network connecting the top 25 collaborators of Didrik Nielsen. A scholar is included among the top collaborators of Didrik Nielsen 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 Didrik Nielsen. Didrik Nielsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models. | 11 |
| 2 | SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows | 3 |
| 3 | Argmax Flows: Learning Categorical Distributions with Normalizing Flows | 1 |
| 4 | 8 |
About Didrik Nielsen
Didrik Nielsen is a scholar working on General Social Sciences, Artificial Intelligence and Statistics and Probability, having authored 4 papers that have together received 23 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (3 citations), Computer Vision and Pattern Recognition (15 citations) and Artificial Intelligence (14 citations). Didrik Nielsen has collaborated with scholars based in Denmark, Netherlands and Germany. Frequent co-authors include Priyank Jaini, Emiel Hoogeboom, Max Welling, Mark Schmidt, Patrick Forré, Mohammad Emtiyaz Khan and Ole Winther. Their work appears in journals such as 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.