At HDSI we work on advancing theoretical foundations and applications of ML and AI across a broad range of disciplines. We aim to break disciplinary boundaries and foster collaboration between AI/ML researchers and the broader data science community.
Subareas:
- Natural Language Processing
- Computer Vision
- Robotics
- Deep Learning
- Unsupervised Learning and Data Mining
- Planning
- Reinforcement Learning and Sequential Decision Making
- Statistical Learning Theory
- Graphical Models and Inference
- Control and Dynamic Systems
