Matt Hoffman
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Time Series Analysis and Forecasting
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- Music Technology and Sound Studies
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Music and Audio Processing 2
- Speech and Audio Processing 1
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- Music Technology and Sound Studies 2
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Noam Shazeer (1 shared paper)Curtis Hawthorne (1 shared paper)Cheng-Zhi Anna Huang (1 shared paper)Ian Simon (1 shared paper)Ashish Vaswani (1 shared paper)Douglas Eck (1 shared paper)Jakob Uszkoreit (1 shared paper)Monica Dinculescu (1 shared paper)
- Journals
- International Journal of Sports Science & Coaching (1 paper)Lecture notes in computer science (1 paper)SMARTech Repository (Georgia Institute of Technology) (1 paper)International Conference on Learning Representations (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Matt Hoffman
8 papers receiving 222 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 134
- Computer Vision and Pattern Recognition 125
- Artificial Intelligence 46
- Computer Science Applications 6
- Human-Computer Interaction 4
Countries citing papers authored by Matt Hoffman
This map shows the geographic impact of Matt Hoffman'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 Matt Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Hoffman more than expected).
Fields of papers citing papers by Matt Hoffman
This network shows the impact of papers produced by Matt Hoffman. 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 Matt Hoffman. The network helps show where Matt Hoffman may publish in the future.
Co-authors
The 23 scholars most cited alongside Matt Hoffman, 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 | Music Transformer: Generating Music with Long-Term Structure | 2019 | 166 |
| 2 | 2016 | 43 | |
| 3 | Trans-dimensional MCMC for Bayesian policy learning | 2007 | 8 |
| 4 | 2019 | 7 | |
| 5 | Scalable nonparametric Bayesian multilevel clustering | 2016 | 4 |
| 6 | Feature-Based Synthesis for Sonification and Psychoacoustic Research | 2006 | 2 |
| 7 | 2009 | 2 | |
| 8 | 2007 | 1 |
About Matt Hoffman
Matt Hoffman is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Science Applications, Artificial Intelligence and Statistics and Probability, having authored 8 papers that have together received 233 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (2 papers), Music and Audio Processing (2 papers), Speech and Audio Processing (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Sport Psychology and Performance (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper) and Machine Learning and Algorithms (1 paper). The work is most often cited by research in Signal Processing (134 citations), Computer Vision and Pattern Recognition (125 citations), Artificial Intelligence (46 citations), Computer Science Applications (6 citations) and Human-Computer Interaction (4 citations). Matt Hoffman has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Noam Shazeer, Curtis Hawthorne, Cheng-Zhi Anna Huang, Ian Simon, Ashish Vaswani, Douglas Eck, Jakob Uszkoreit, Monica Dinculescu, Bryan Pardo and Gautham J. Mysore. Their work appears in journals such as International Journal of Sports Science & Coaching, Lecture notes in computer science, SMARTech Repository (Georgia Institute of Technology), International Conference on Learning Representations and IEEE International Conference on Acoustics Speech and Signal Processing.
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.