
About
Jonathon Shlens is a principal scientist and research director at Google DeepMind, focusing on vision, language, and learning. He has led teams in deploying production systems, invented TensorFlow, and collaborated with Waymo. His work spans machine learning, computer vision, basic science, and autonomous driving.
Research interests include:
- Machine learning with applications in multimodal and transformer models
- Computer vision, particularly robustness and 3D object detection
- Neuroscience, analyzing neural computations in the primate retina
- Autonomous driving systems and motion forecasting
Recent articles highlight trends in:
- Vision-language models and semantic guidance
- Transformer architectures for scene flow and calibration
- Adversarial robustness across human and machine perception
- Scalable datasets and model architectures
Scientific awards include:
- Best Paper Award at CVPR 2013
Former advisees include notable researchers now at institutions like Stanford, MIT, and OpenAI.
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