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.