Zalán Borsos
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Topic Modeling
- Imbalanced Data Classification Techniques
Papers in
-
- Speech Recognition and Synthesis 5
- Natural Language Processing Techniques 2
- Machine Learning and ELM 1
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- Speech and Audio Processing 4
- Music and Audio Processing 4
- Co-authors
- Marco Tagliasacchi (6 shared papers)Neil Zeghidour (5 shared papers)Eugene Kharitonov (2 shared papers)Damien Vincent (2 shared papers)Matt Sharifi (2 shared papers)Olivier Pietquin (2 shared papers)Raphaël Marinier (2 shared papers)David Grangier (1 shared paper)
- Journals
- Pattern Analysis and Applications (1 paper)Transactions of the Association for Computational Linguistics (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Interspeech 2022 (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- SwitzerlandUnited StatesRomania
In The Last Decade
Zalán Borsos
10 papers receiving 301 citations
Zalán Borsos's Hit Papers
Peers
Comparison fields: 5 of 57
- Signal Processing 145
- Artificial Intelligence 220
- Health Informatics 5
- Computer Vision and Pattern Recognition 71
- Developmental Biology 2
Countries citing papers authored by Zalán Borsos
This map shows the geographic impact of Zalán Borsos'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 Zalán Borsos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zalán Borsos more than expected).
Fields of papers citing papers by Zalán Borsos
This network shows the impact of papers produced by Zalán Borsos. 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 Zalán Borsos. The network helps show where Zalán Borsos may publish in the future.
Co-authors
The 25 scholars most cited alongside Zalán Borsos, 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 | AudioLM: A Language Modeling Approach to Audio Generation Hit paper breakdown → | 2023 | 201 |
| 2 | 2023 | 54 | |
| 3 | 2016 | 19 | |
| 4 | 2023 | 15 | |
| 5 | 2022 | 14 | |
| 6 | 2023 | 6 | |
| 7 | 2013 | 3 | |
| 8 | Coresets via Bilevel Optimization for Continual Learning and Streaming | 2020 | 2 |
| 9 | 2023 | 2 | |
| 10 | 2019 | 1 |
About Zalán Borsos
Zalán Borsos is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 10 papers that have together received 317 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers), Music and Audio Processing (4 papers), Natural Language Processing Techniques (2 papers), Machine Learning and ELM (1 paper), Hearing Loss and Rehabilitation (1 paper), Multimodal Machine Learning Applications (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Signal Processing (145 citations), Artificial Intelligence (220 citations), Health Informatics (5 citations), Computer Vision and Pattern Recognition (71 citations) and Developmental Biology (2 citations). Zalán Borsos has collaborated with scholars based in Switzerland, United States and Romania. Frequent co-authors include Marco Tagliasacchi, Neil Zeghidour, Eugene Kharitonov, Damien Vincent, Matt Sharifi, Olivier Pietquin, Raphaël Marinier, David Grangier, Dominik Roblek and Olivier Teboul. Their work appears in journals such as Pattern Analysis and Applications, Transactions of the Association for Computational Linguistics, IEEE/ACM Transactions on Audio Speech and Language Processing, Interspeech 2022 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.