Alina Leidinger M.Sc.
|Visiting hours:||By appointment|
|Address:||Universitätsstraße 6a, 86159 Augsburg|
Deep Learning, Causality, Fairness
Alina Leidinger started her doctoral studies at the Human-Centered Multimedia group in July 2020. She completed her undergraduate degree in Mathematics at Imperial College London and an MSc in Mathematics in Data Science at Technical University of Munich.
I am supervising master theses in the area of Deep Learning, Machine Learning, Causality, Fairness/Ethical AI.
Possible topics include:
- Sequential causal modelling and decision making
- VAE based methods for Causal Inference
- Causal Fairness, Counterfactual Fairness
- Ethical AI
I am also open to hear about your ideas for possible topics. If you are interested, feel free to drop me an email with a few lines about yourself, your interests and background. The topic will then be tailored to you.
Christos Sagonas, Yannis Panagakis, Alina Leidinger and Stefanos Zafeiriou. 2017. Robust joint and individual variance explained. In Yanxi Liu, James M. Rehg, Camillo J. Taylor, Ying Wu, Rama Chellappa, Anthony Hoogs and Zhengyou Zhang (Ed.). 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21-26 July 2017, Honolulu, HI, USA. IEEE, Piscataway, NJ, 5739-5748. DOI: 10.1109/cvpr.2017.608