FAR - Fundamental AI Research
About
Fundamental AI Research group is founded with main focus on fundamentals of machine learning on representation learning connecting natural language and vision. The research done by FAR includes (but is not limited to) image generation and manipulation, scene graphs, semi, weakly, and self-supervised learning, meta-leaning, and federated learning. The group also organizes the Deep Learning for Medical Applications (DLMA) seminar and the Machine Learning in Medical Imaging (MLMI) practical course.
Contact Person / Group Coordination
Azade Farshad - azade.farshad@tum.de
Research Partners
Munich Center for Machine Learning (MCML)
Stanford University
Ludwig Maximilian University
Klinikum Recht Der Isar
Imperial College London
NVIDIA healthcare
FAU Erlangen University
Oxford University
Helmholtz AI
Johns Hopkins
Harvard Medical School
Sharif University
Google
Group Members
- Azade Farshad
- Yousef Yeganeh
- Maximilian Frantzen
- Onat Sahin
- Sraddha Das
- Pavel Jahoda
- Mahaut Gerard
Alumni:
- Peter Weinberger
- Anastasia Makarevich
- Sabrina Musatian
- Sarthak Garg
- Samin Hamidi
Teaching
- MLMI
- DLMA
Location
Chair for Computer-Aided Medical Procedures and Augmented Reality,
Boltzmannstr. 3, 85748 Garching b. Munchen