Andrew Ilyas
Impact in
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
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- Advanced Neural Network Applications
Papers in
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- Adversarial Robustness in Machine Learning 11
- Reinforcement Learning in Robotics 3
- Anomaly Detection Techniques and Applications 3
- Machine Learning and Algorithms 2
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- Advanced Neural Network Applications 5
- Generative Adversarial Networks and Image Synthesis 3
- Co-authors
- Logan Engstrom (12 shared papers)Anish Athalye (2 shared papers)Aleksander Mądry (13 shared papers)Shibani Santurkar (9 shared papers)Dimitris Tsipras (9 shared papers)Firdaus Janoos (3 shared papers)Larry Rudolph (3 shared papers)Constantinos Daskalakis (4 shared papers)
- Journals
- International Journal of Epidemiology (1 paper)International Conference on Learning Representations (2 papers)arXiv (Cornell University) (5 papers)SSRN Electronic Journal (1 paper)International Conference on Artificial Intelligence and Statistics (1 paper)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Andrew Ilyas
22 papers receiving 402 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 340
- Computer Vision and Pattern Recognition 118
- Signal Processing 58
- Hardware and Architecture 21
- Management Science and Operations Research 28
Countries citing papers authored by Andrew Ilyas
This map shows the geographic impact of Andrew Ilyas'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 Andrew Ilyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Ilyas more than expected).
Fields of papers citing papers by Andrew Ilyas
This network shows the impact of papers produced by Andrew Ilyas. 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 Andrew Ilyas. The network helps show where Andrew Ilyas may publish in the future.
Co-authors
The 24 scholars most cited alongside Andrew Ilyas, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Synthesizing Robust Adversarial Examples | 2018 | 193 |
| 2 | Implementation Matters in Deep RL: A Case Study on PPO and TRPO | 2020 | 48 |
| 3 | Training GANs with Optimism | 2017 | 28 |
| 4 | How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift) | 2018 | 20 |
| 5 | Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms | 2018 | 17 |
| 6 | Prior convictions: Black-box adversarial attacks with bandits and priors | 2018 | 17 |
| 7 | Learning Perceptually-Aligned Representations via Adversarial Robustness. | 2019 | 15 |
| 8 | 2023 | 13 | |
| 9 | 2019 | 12 | |
| 10 | Query-Efficient Black-box Adversarial Examples | 2017 | 11 |
| 11 | 2021 | 9 | |
| 12 | Image Synthesis with a Single (Robust) Classifier | 2019 | 9 |
| 13 | 2018 | 9 | |
| 14 | Computer Vision with a Single (Robust) Classifier. | 2019 | 8 |
| 15 | 2014 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Andrew Ilyas
Andrew Ilyas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Information Systems and Management Science and Operations Research, having authored 22 papers that have together received 438 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (11 papers), Advanced Neural Network Applications (5 papers), COVID-19 diagnosis using AI (3 papers), Reinforcement Learning in Robotics (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Anomaly Detection Techniques and Applications (3 papers), Cell Image Analysis Techniques (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (340 citations), Computer Vision and Pattern Recognition (118 citations), Signal Processing (58 citations), Hardware and Architecture (21 citations) and Management Science and Operations Research (28 citations). Andrew Ilyas has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Logan Engstrom, Anish Athalye, Aleksander Mądry, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Constantinos Daskalakis, Haoyang Zeng and Vasilis Syrgkanis. Their work appears in journals such as International Journal of Epidemiology, International Conference on Learning Representations, arXiv (Cornell University), SSRN Electronic Journal and International Conference on Artificial Intelligence and Statistics.
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.