Koray Kavukcuoglu
Impact in
- Artificial Intelligence top 0.01%
- Reinforcement Learning in Robotics
- Adversarial Robustness in Machine Learning
- Artificial Intelligence in Games
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
Papers in
-
- Advanced Image and Video Retrieval Techniques 7
- Advanced Neural Network Applications 5
- Face and Expression Recognition 3
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- Reinforcement Learning in Robotics 7
- Topic Modeling 6
- Domain Adaptation and Few-Shot Learning 5
- Natural Language Processing Techniques 4
- Artificial Intelligence in Games 3
- Co-authors
- Demis HassabisDavid SilverIoannis AntonoglouYann LeCunStig PetersenDaan WierstraAlex GravesGeorg Ostrovski
- Journals
- Nature (4 papers)Science (1 paper)Journal of Field Robotics (1 paper)Proteins Structure Function and Bioinformatics (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Koray Kavukcuoglu
35 papers receiving 34.1k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- Artificial Intelligence 15.6k
- Computer Vision and Pattern Recognition 7.7k
- Automotive Engineering 2.6k
- Control and Systems Engineering 4.7k
- Health Informatics 266
Countries citing papers authored by Koray Kavukcuoglu
This map shows the geographic impact of Koray Kavukcuoglu'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 Koray Kavukcuoglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koray Kavukcuoglu more than expected).
Fields of papers citing papers by Koray Kavukcuoglu
This network shows the impact of papers produced by Koray Kavukcuoglu. 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 Koray Kavukcuoglu. The network helps show where Koray Kavukcuoglu may publish in the future.
Co-authors
The 25 scholars most cited alongside Koray Kavukcuoglu, 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 | Improved protein structure prediction using potentials from deep learning Hit paper breakdown → | 2020 | 2026 |
| 2 | Human-level performance in 3D multiplayer games with population-based reinforcement learning Hit paper breakdown → | 2019 | 349 |
| 3 | Combining policy gradient and Q-learning | 2017 | 9 |
| 4 | Understanding Synthetic Gradients and Decoupled Neural Interfaces | 2017 | 6 |
| 5 | 2017 | 110 | |
| 6 | Strategic Attentive Writer for Learning Macro-Actions | 2016 | 17 |
| 7 | Mastering the game of Go with deep neural networks and tree search Hit paper breakdown → | 2016 | 8793 |
| 8 | Hybrid computing using a neural network with dynamic external memory Hit paper breakdown → | 2016 | 683 |
| 9 | 2016 | 110 | |
| 10 | Natural Neural Networks | 2015 | 42 |
| 11 | Weight Uncertainty in Neural Network Hit paper breakdown → | 2015 | 363 |
| 12 | Human-level control through deep reinforcement learning Hit paper breakdown → | 2015 | 17153 |
| 13 | Learning word embeddings efficiently with noise-contrastive estimation | 2013 | 262 |
| 14 | Learning the Dependency Structure of Latent Factors | 2012 | 3 |
| 15 | 2012 | 25 | |
| 16 | Torch7: A Matlab-like Environment for Machine Learning Hit paper breakdown → | 2011 | 713 |
| 17 | 2011 | 68 | |
| 18 | Learning Convolutional Feature Hierarchies for Visual Recognition Hit paper breakdown → | 2010 | 328 |
| 19 | 2009 | 9 | |
| 20 | A multi-range vision strategy for autonomous offroad navigation | 2007 | 12 |
About Koray Kavukcuoglu
Koray Kavukcuoglu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Management Science and Operations Research and Hardware and Architecture, having authored 35 papers that have together received 35.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Topic Modeling (6 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Natural Language Processing Techniques (4 papers), Face and Expression Recognition (3 papers) and Artificial Intelligence in Games (3 papers). The work is most often cited by research in Artificial Intelligence (15.6k citations), Computer Vision and Pattern Recognition (7.7k citations), Automotive Engineering (2.6k citations), Control and Systems Engineering (4.7k citations) and Health Informatics (266 citations). Koray Kavukcuoglu has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Demis Hassabis, David Silver, Ioannis Antonoglou, Yann LeCun, Stig Petersen, Daan Wierstra, Alex Graves, Georg Ostrovski, Volodymyr Mnih and Charles Beattie. Their work appears in journals such as Nature, Science, Journal of Field Robotics, Proteins Structure Function and Bioinformatics and International Conference on Learning Representations.
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.