Aäron van den Oord
- Signal Processing top 2%
- Speech and Audio Processing 10
- Music and Audio Processing 9
-
- Generative Adversarial Networks and Image Synthesis 4
- Advanced Data Compression Techniques 4
- Music Technology and Sound Studies 3
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis 6
- AI in cancer detection 3
- Adversarial Robustness in Machine Learning 3
- Information Systems top 2%
- Co-authors
- Benjamin SchrauwenSander DielemanOriol VinyalsLuyu WangThomas C. WaltersFelicia S. C. LimYazhe LiGeorg Ostrovski
- Journals
- Communications of the ACM (1 paper)Journal of Machine Learning Research (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Aäron van den Oord
25 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Signal Processing 419
- Computer Vision and Pattern Recognition 492
- Artificial Intelligence 637
- Information Systems 386
- Computational Mathematics 8
Countries citing papers authored by Aäron van den Oord
This map shows the geographic impact of Aäron van den Oord'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 Aäron van den Oord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aäron van den Oord more than expected).
Fields of papers citing papers by Aäron van den Oord
This network shows the impact of papers produced by Aäron van den Oord. 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 Aäron van den Oord. The network helps show where Aäron van den Oord may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aäron van den Oord, 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 | 2021 | 20 | |
| 2 | Self-supervised Adversarial Robustness for the Low-label, High-data Regime | 2021 | 6 |
| 3 | 2020 | 44 | |
| 4 | 2020 | 6 | |
| 5 | Shaping Belief States with Generative Environment Models for RL | 2019 | 7 |
| 6 | Generating Diverse High-Resolution Images with VQ-VAE | 2019 | 7 |
| 7 | 2019 | 76 | |
| 8 | Unsupervised Learning of Efficient and Robust Speech Representations | 2019 | 3 |
| 9 | Associative Compression Networks | 2018 | 2 |
| 10 | Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. | 2018 | 31 |
| 11 | Sample-efficient adaptive text-to-speech | 2018 | 16 |
| 12 | The challenge of realistic music generation: modelling raw audio at scale | 2018 | 20 |
| 13 | Visual Imitation with a Minimal Adversary | 2018 | 1 |
| 14 | Count-based exploration with neural density models | 2017 | 43 |
| 15 | Locally-connected transformations for deep GMMs | 2015 | 4 |
| 16 | Factoring Variations in Natural Images with Deep Gaussian Mixture Models | 2014 | 32 |
| 17 | 2014 | 17 | |
| 18 | Deep content-based music recommendationbreakdown → | 2013 | 629 |
| 19 | 2013 | 1 | |
| 20 | 2012 | 17 |
About Aäron van den Oord
Aäron van den Oord is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Music and Audio Processing (9 papers), Speech Recognition and Synthesis (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Data Compression Techniques (4 papers), AI in cancer detection (3 papers), Music Technology and Sound Studies (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Signal Processing (419 citations), Computer Vision and Pattern Recognition (492 citations) and Artificial Intelligence (637 citations). Aäron van den Oord has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Benjamin Schrauwen, Sander Dieleman, Oriol Vinyals, Luyu Wang, Thomas C. Walters, Felicia S. C. Lim, Yazhe Li, Georg Ostrovski, Marc G. Bellemare and Kazuya Kawakami. Their work appears in journals such as Communications of the ACM, Journal of Machine Learning Research and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.