Research Areas

My research connects predictive representations, memory, adaptation, and efficiency. These pages organize the central questions and related papers in each area.

Memory, Personalization, and Continual Learning

Ravid Shwartz Ziv's research interests in AI memory, personalization, continual learning, and updating knowledge without destructive interference.

Model Compression and Efficient AI

Ravid Shwartz Ziv's research on model compression, task-aware quantization, efficient representations, and reducing AI memory and computation.

World Models and Predictive Representations

Ravid Shwartz Ziv's research on world models, predictive representations, learned dynamics, and training agents in imagination.