Deep Heteroscedastic Regression
Methods and Applications


We study deep regression, a framework powering popular machine learning tasks such as uncertainty estimation and generative modelling. We propose different methodologies and explore applications across machine learning and vision. Our research is published in top-tier venues such as ICML, ICLR and CVPR.


Megh Shukla Mathieu Salzmann Alexandre Alahi