Yarin Gal
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Health Informatics top 1%
Papers in
-
- Gaussian Processes and Bayesian Inference 15
- Adversarial Robustness in Machine Learning 12
- Anomaly Detection Techniques and Applications 11
- Domain Adaptation and Few-Shot Learning 8
- Machine Learning and Algorithms 6
- Topic Modeling 5
- Machine Learning in Healthcare 5
- Machine Learning and Data Classification 5
- Co-authors
- Alex Kendall (4 shared papers)Roberto Cipolla (3 shared papers)Zoubin Ghahramani (3 shared papers)Pascal Notin (5 shared papers)Debora S. Marks (3 shared papers)Sebastian Farquhar (5 shared papers)Jannik Kossen (2 shared papers)Lorenz Kuhn (1 shared paper)
- Journals
- Nature (4 papers)Monthly Notices of the Royal Astronomical Society (2 papers)Nature Reviews Physics (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Yarin Gal
64 papers receiving 4.8k citations
Yarin Gal's Hit Papers
Peers
Comparison fields: 5 of 195
- Modeling and Simulation 433
- Health Informatics 112
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 1.5k
- Media Technology 194
Countries citing papers authored by Yarin Gal
This map shows the geographic impact of Yarin Gal'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 Yarin Gal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yarin Gal more than expected).
Fields of papers citing papers by Yarin Gal
This network shows the impact of papers produced by Yarin Gal. 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 Yarin Gal. The network helps show where Yarin Gal may publish in the future.
Co-authors
The 25 scholars most cited alongside Yarin Gal, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Hit paper breakdown → | 2018 | 1514 |
| 2 | Inferring the effectiveness of government interventions against COVID-19 Hit paper breakdown → | 2020 | 643 |
| 3 | A theoretically grounded application of dropout in recurrent neural networks Hit paper breakdown → | 2016 | 421 |
| 4 | Disease variant prediction with deep generative models of evolutionary data Hit paper breakdown → | 2021 | 398 |
| 5 | Detecting hallucinations in large language models using semantic entropy Hit paper breakdown → | 2024 | 258 |
| 6 | AI models collapse when trained on recursively generated data Hit paper breakdown → | 2024 | 229 |
| 7 | 2017 | 146 | |
| 8 | Machine learning for functional protein design Hit paper breakdown → | 2024 | 145 |
| 9 | 2021 | 143 | |
| 10 | 2021 | 124 | |
| 11 | Learning from prepandemic data to forecast viral escape Hit paper breakdown → | 2023 | 98 |
| 12 | 2019 | 90 | |
| 13 | 2022 | 83 | |
| 14 | 2017 | 67 | |
| 15 | 2022 | 57 | |
| 16 | 2017 | 44 | |
| 17 | 2023 | 44 | |
| 18 | 2022 | 41 | |
| 19 | Concrete Dropout | 2017 | 39 |
| 20 | BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning | 2019 | 38 |
About Yarin Gal
Yarin Gal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology and Astronomy and Astrophysics, having authored 69 papers that have together received 5.0k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (15 papers), Adversarial Robustness in Machine Learning (12 papers), Anomaly Detection Techniques and Applications (11 papers), Domain Adaptation and Few-Shot Learning (8 papers), Machine Learning and Algorithms (6 papers), Topic Modeling (5 papers), Machine Learning in Healthcare (5 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Modeling and Simulation (433 citations), Health Informatics (112 citations), Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (1.5k citations) and Media Technology (194 citations). Yarin Gal has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Alex Kendall, Roberto Cipolla, Zoubin Ghahramani, Pascal Notin, Debora S. Marks, Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Kelly P. Brock and Joseph Min. Their work appears in journals such as Nature, Monthly Notices of the Royal Astronomical Society, Nature Reviews Physics, Science and Proceedings of the National Academy of Sciences.
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.