Sven Gowal
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Daniel J. MankowitzCosmin PăduraruTodd HesterJerry LiNir LevineGabriel Dulac-ArnoldPushmeet KohliAlcherio Martinoli
- Topics
- Adversarial Robustness in Machine Learning (11 papers)Distributed Control Multi-Agent Systems (6 papers)Reinforcement Learning in Robotics (5 papers)
- Journals
- Nature MedicineMachine LearningInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Sven Gowal
26 papers receiving 642 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 362
- Control and Systems Engineering 139
- Computer Vision and Pattern Recognition 100
- Electrical and Electronic Engineering 94
- Computer Networks and Communications 87
Countries citing papers authored by Sven Gowal
This map shows the geographic impact of Sven Gowal'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 Sven Gowal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Gowal more than expected).
Fields of papers citing papers by Sven Gowal
This network shows the impact of papers produced by Sven Gowal. 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 Sven Gowal. The network helps show where Sven Gowal may publish in the future.
Co-authorship network of co-authors of Sven Gowal
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Gowal. A scholar is included among the top collaborators of Sven Gowal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sven Gowal. Sven Gowal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Generative models improve fairness of medical classifiers under distribution shiftsbreakdown → | 55 |
| 2 | 2 | |
| 3 | Self-supervised Adversarial Robustness for the Low-label, High-data Regime | 6 |
| 4 | 2 | |
| 5 | Challenges of real-world reinforcement learning: definitions, benchmarks and analysisbreakdown → | 320 |
| 6 | Towards Verified Robustness under Text Deletion Interventions | 3 |
| 7 | Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control | 8 |
| 8 | A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES | 4 |
| 9 | 7 | |
| 10 | 64 | |
| 11 | Efficient Neural Network Verification with Exactness Characterization | 8 |
| 12 | Adversarial Robustness through Local Linearization | 27 |
| 13 | 64 | |
| 14 | 3 | |
| 15 | Learning from Delayed Outcomes with Intermediate Observations | 3 |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 7 |
About Sven Gowal
Sven Gowal is a scholar working on Artificial Intelligence, Hardware and Architecture and Instrumentation, having authored 26 papers that have together received 664 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (11 papers), Distributed Control Multi-Agent Systems (6 papers) and Reinforcement Learning in Robotics (5 papers). The work is most often cited by research in Health Informatics (22 citations), Artificial Intelligence (362 citations) and Control and Systems Engineering (139 citations). Sven Gowal has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Daniel J. Mankowitz, Cosmin Păduraru, Todd Hester, Jerry Li, Nir Levine, Gabriel Dulac-Arnold, Pushmeet Kohli, Alcherio Martinoli, Krishnamurthy Dvijotham and Robert Stanforth. Their work appears in journals such as Nature Medicine, Machine Learning and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.