Ilya Kostrikov
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- Human Pose and Action Recognition 5
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- Computer Graphics and Visualization Techniques 2
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems 2
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics 10
- Evolutionary Algorithms and Applications 2
- Adversarial Robustness in Machine Learning 2
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- 3D Shape Modeling and Analysis 2
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- Adaptive Dynamic Programming Control 2
- Co-authors
- Jüergen GallBastian LeibeUmer RafiRob FergusSergey LevineJonathan TompsonDenis YaratsLaura Smith
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignHuman-Computer Interaction
- Journals
- International Conference on Machine Learning (1 paper)arXiv (Cornell University) (5 papers)International Conference on Learning Representations (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Ilya Kostrikov
14 papers receiving 341 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 218
- Computer Graphics and Computer-Aided Design 35
- Human-Computer Interaction 53
- Artificial Intelligence 144
- Computational Mechanics 54
Countries citing papers authored by Ilya Kostrikov
This map shows the geographic impact of Ilya Kostrikov'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 Ilya Kostrikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Kostrikov more than expected).
Fields of papers citing papers by Ilya Kostrikov
This network shows the impact of papers produced by Ilya Kostrikov. 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 Ilya Kostrikov. The network helps show where Ilya Kostrikov may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Ilya Kostrikov, 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 | 2023 | 29 | |
| 2 | 2022 | 0 | |
| 3 | Offline Reinforcement Learning with Fisher Divergence Critic Regularization | 2021 | 15 |
| 4 | Automatic Data Augmentation for Generalization in Reinforcement Learning | 2021 | 20 |
| 5 | Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels | 2021 | 25 |
| 6 | 2021 | 1 | |
| 7 | 2019 | 9 | |
| 8 | Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning. | 2018 | 3 |
| 9 | Intrinsic motivation and automatic curricula via asymmetric self-play | 2018 | 27 |
| 10 | Surface Networks | 2018 | 15 |
| 11 | 2018 | 24 | |
| 12 | 2018 | 32 | |
| 13 | 2016 | 90 | |
| 14 | 2014 | 46 | |
| 15 | 2014 | 20 |
About Ilya Kostrikov
Ilya Kostrikov is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Computer Vision and Pattern Recognition, Artificial Intelligence and Geology, having authored 15 papers that have together received 356 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Human Pose and Action Recognition (5 papers), Hand Gesture Recognition Systems (2 papers), Adaptive Dynamic Programming Control (2 papers), Evolutionary Algorithms and Applications (2 papers), Computer Graphics and Visualization Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (218 citations), Computer Graphics and Computer-Aided Design (35 citations), Human-Computer Interaction (53 citations), Artificial Intelligence (144 citations) and Computational Mechanics (54 citations). Ilya Kostrikov has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Jüergen Gall, Bastian Leibe, Umer Rafi, Rob Fergus, Sergey Levine, Jonathan Tompson, Denis Yarats, Laura Smith, Daniele Panozzo and Joan Bruna. Their work appears in journals such as International Conference on Machine Learning, arXiv (Cornell University), International Conference on Learning Representations and Computer Vision and Pattern Recognition.
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.