Ilya Sutskever

Google (United States)

Papers

3

Total Citations

10,343

H-Index

3

About

Ilya Sutskever is a pioneering force in artificial intelligence, best known for his foundational contributions to deep learning and reinforcement learning. As a co-founder and Chief Scientist of OpenAI, and previously a key figure at Google Brain, his research has profoundly shaped modern machine learning. He is a co-author of the seminal TensorFlow paper (over 9,777 citations), which introduced the framework that democratized large-scale machine learning across heterogeneous systems, from mobile devices to massive clusters. Sutskever also advanced reinforcement learning with work on continuous deep Q-learning and model-based acceleration, improving sample efficiency for high-dimensional control tasks. His research on one-shot imitation learning tackled the challenge of enabling robots to learn complex tasks from a single demonstration, pushing toward more general and data-efficient AI. Beyond these, Sutskever is celebrated for his role in developing the sequence-to-sequence learning paradigm and for his early work on neural network optimization. With tens of thousands of citations, his impact is immense, and his vision continues to drive the frontier of artificial general intelligence.

Research Focus

Key Achievements

3
H-Index
3
Papers
10,343
Total Citations
3,448
Avg Citations/Paper
🏆 Most Cited Paper
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
9,777 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 50
🏛 Institutions: Google (United States)

Top Papers

  1. 1
  2. 2
  3. 3
    One-Shot Imitation Learning
    229 citations · 2017

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago