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2025-12-29 15:13:49
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Teresa 1- about 2- research overview 3- publications 4- education 5- experience 6- contacts Teresa Yeo I am a PhD student at the VILAB, EPFL supervised by Amir Zamir and Pierre Dillenbourg . My research is on the intersection of computer vision and machine learning and in particular, making models robust and adaptive! I am also interested in the theory and methods for algorithmic teaching and inverse reinforcement learning. My undergrad degree was at the National University of Singapore in the Mathematics department. I went on to do my Master in Financial Engineering at Columbia University and became a quant developing on systematic investment strategies for equity portfolios. I then returned to school to do a Master in Machine Learning at Cambridge University . Research overview. Robustness Relevant projects: 3D Common Corruptions and Data Augmentation Robustness via Cross-Domain Ensembles Robust Learning Through Cross-Tas...
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