I. Babuschkin
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Control and Systems Engineering
- Statistical and Nonlinear Physics
- Co-authors
- Oriol VinyalsDavid RaposoAdam SantoroVictor BapstYujia LiPeter BattagliaMurray ShanahanKarl Tuyls
- Topics
- Cell Image Analysis Techniques (2 papers)Seismic Imaging and Inversion Techniques (1 paper)Neural Networks and Applications (1 paper)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Journal of Physics Conference SeriesNeural Information Processing SystemsInternational Conference on Machine Learning
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
I. Babuschkin
5 papers receiving 64 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 45
- Computer Vision and Pattern Recognition 16
- Sociology and Political Science 6
- Control and Systems Engineering 5
- Statistical and Nonlinear Physics 5
Countries citing papers authored by I. Babuschkin
This map shows the geographic impact of I. Babuschkin'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 I. Babuschkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Babuschkin more than expected).
Fields of papers citing papers by I. Babuschkin
This network shows the impact of papers produced by I. Babuschkin. 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 I. Babuschkin. The network helps show where I. Babuschkin may publish in the future.
Co-authorship network of co-authors of I. Babuschkin
This figure shows the co-authorship network connecting the top 25 collaborators of I. Babuschkin. A scholar is included among the top collaborators of I. Babuschkin 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 I. Babuschkin. I. Babuschkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer | 6 |
| 2 | Synthesizing Programs for Images using Reinforced Adversarial Learning. | 11 |
| 3 | Deep reinforcement learning with relational inductive biases | 47 |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 |
About I. Babuschkin
I. Babuschkin is a scholar working on Biophysics, Information Systems and Management and Geophysics, having authored 6 papers that have together received 66 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Seismic Imaging and Inversion Techniques (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (45 citations), Computer Vision and Pattern Recognition (16 citations) and Computer Science Applications (3 citations). I. Babuschkin has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Oriol Vinyals, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Peter Battaglia, Murray Shanahan, Karl Tuyls, Vinícius Zambaldi and Timothy Lillicrap. Their work appears in journals such as Journal of Physics Conference Series, Neural Information Processing Systems and International Conference on Machine Learning.
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.