Sander Dieleman
Impact in
- Artificial Intelligence top 0.1%
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Adversarial Robustness in Machine Learning
- Evolutionary Algorithms and Applications
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- Advanced Neural Network Applications
Papers in
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- Music Technology and Sound Studies 8
- Advanced Vision and Imaging 2
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- Music and Audio Processing 11
- Speech and Audio Processing 8
- Co-authors
- Koray Kavukcuoglu (2 shared papers)Timothy Lillicrap (1 shared paper)Dominik Grewe (1 shared paper)George van den Driessche (1 shared paper)Laurent Sifre (1 shared paper)Thore Graepel (1 shared paper)Aja Huang (1 shared paper)Arthur Guez (1 shared paper)
- Journals
- Monthly Notices of the Royal Astronomical Society (1 paper)Nature (1 paper)Journal of Machine Learning Research (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Sander Dieleman
21 papers receiving 10.2k citations
Sander Dieleman's Hit Papers
Peers
Comparison fields: 5 of 202
- Artificial Intelligence 5.2k
- Computer Vision and Pattern Recognition 2.2k
- Signal Processing 893
- Health Informatics 104
- Management Science and Operations Research 609
Countries citing papers authored by Sander Dieleman
This map shows the geographic impact of Sander Dieleman'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 Sander Dieleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sander Dieleman more than expected).
Fields of papers citing papers by Sander Dieleman
This network shows the impact of papers produced by Sander Dieleman. 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 Sander Dieleman. The network helps show where Sander Dieleman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sander Dieleman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mastering the game of Go with deep neural networks and tree search Hit paper breakdown → | 2016 | 8961 |
| 2 | Deep content-based music recommendation Hit paper breakdown → | 2013 | 630 |
| 3 | Rotation-invariant convolutional neural networks for galaxy morphology prediction Hit paper breakdown → | 2015 | 499 |
| 4 | 2014 | 190 | |
| 5 | 2016 | 95 | |
| 6 | 2011 | 63 | |
| 7 | 2018 | 54 | |
| 8 | 2013 | 46 | |
| 9 | 2014 | 34 | |
| 10 | 2022 | 30 | |
| 11 | The challenge of realistic music generation: modelling raw audio at scale | 2018 | 20 |
| 12 | Oger: modular learning architectures for large-scale sequential processing | 2012 | 19 |
| 13 | 2013 | 17 | |
| 14 | Self-Supervised MultiModal Versatile Networks | 2020 | 7 |
| 15 | 2015 | 5 | |
| 16 | Learning to Create Piano Performances | 2017 | 5 |
| 17 | 2017 | 4 | |
| 18 | Spatial chirp-Z transformer networks | 2016 | 2 |
| 19 | 2016 | 2 | |
| 20 | Accelerating sparse restricted Boltzmann machine training using non-Gaussianity measures | 2012 | 2 |
About Sander Dieleman
Sander Dieleman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 22 papers that have together received 10.7k indexed citations. Recurring topics across this work include Music and Audio Processing (11 papers), Music Technology and Sound Studies (8 papers), Speech and Audio Processing (8 papers), Advanced Memory and Neural Computing (2 papers), Advanced Vision and Imaging (2 papers), Neural Networks and Applications (2 papers), Recommender Systems and Techniques (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (5.2k citations), Computer Vision and Pattern Recognition (2.2k citations), Signal Processing (893 citations), Health Informatics (104 citations) and Management Science and Operations Research (609 citations). Sander Dieleman has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Koray Kavukcuoglu, Timothy Lillicrap, Dominik Grewe, George van den Driessche, Laurent Sifre, Thore Graepel, Aja Huang, Arthur Guez, Julian Schrittwieser and Marc Lanctot. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Nature, Journal of Machine Learning Research, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 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.