Randall Balestriero
- Geophysics top 10%
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 5
- Domain Adaptation and Few-Shot Learning 4
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- Speech and Audio Processing 3
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- Underwater Acoustics Research 6
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- Image and Signal Denoising Methods 4
- Generative Adversarial Networks and Image Synthesis 3
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- Sparse and Compressive Sensing Techniques 3
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- Marine animal studies overview 3
- Co-authors
- Richard G. BaraniukMaarten V. de HoopLéonard SeydouxPiero PoliMichel CampilloAshok VeeraraghavanVishwanath SaragadamYann LeCun
- Journals
- The Journal of the Acoustical Society of America (2 papers)IEEE Signal Processing Letters (1 paper)Bulletin of the Seismological Society of America (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Randall Balestriero
24 papers receiving 209 citations
Peers
Comparison fields: 5 of 54
- Geophysics 115
- Computational Mathematics 3
- Developmental Biology 8
- Artificial Intelligence 116
- Signal Processing 16
Countries citing papers authored by Randall Balestriero
This map shows the geographic impact of Randall Balestriero'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 Randall Balestriero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randall Balestriero more than expected).
Fields of papers citing papers by Randall Balestriero
This network shows the impact of papers produced by Randall Balestriero. 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 Randall Balestriero. The network helps show where Randall Balestriero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Randall Balestriero, 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 | 2024 | 10 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 7 | |
| 10 | Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks | 2020 | 1 |
| 11 | 2020 | 121 | |
| 12 | 2020 | 1 | |
| 13 | A Hessian Based Complexity Measure for Deep Networks. | 2019 | 1 |
| 14 | 2019 | 1 | |
| 15 | A Max-Affine Spline Perspective of Recurrent Neural Networks | 2019 | 1 |
| 16 | A spline theory of deep networks | 2018 | 8 |
| 17 | Fast Chirplet Transform Injects Priors in Deep Learning of Animal Calls and Speech | 2017 | 5 |
| 18 | Fast Chirplet Transform feeding CNN, application to orca and bird bioacoustics. | 2016 | 0 |
| 19 | 2016 | 1 | |
| 20 | 2015 | 3 |
About Randall Balestriero
Randall Balestriero is a scholar working on Computational Mathematics, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Oceanography, having authored 26 papers that have together received 218 indexed citations. Recurring topics across this work include Underwater Acoustics Research (6 papers), Anomaly Detection Techniques and Applications (5 papers), Image and Signal Denoising Methods (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Marine animal studies overview (3 papers), Speech and Audio Processing (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Geophysics (115 citations), Computational Mathematics (3 citations), Developmental Biology (8 citations), Artificial Intelligence (116 citations) and Signal Processing (16 citations). Randall Balestriero has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Richard G. Baraniuk, Maarten V. de Hoop, Léonard Seydoux, Piero Poli, Michel Campillo, Ashok Veeraraghavan, Vishwanath Saragadam, Yann LeCun, Hervé Glotin and Hervé Glotin. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Signal Processing Letters, Bulletin of the Seismological Society of America, Nature Communications and IEEE Transactions on Geoscience and Remote Sensing.
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.