Aziz Shameem

Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression

Deep heteroscedastic regression models the mean and covariance of the target distribution through neural networks. The challenge arises from heteroscedasticity, which implies that the covariance is sample dependent and is often unknown. Consequently, recent methods learn the covariance through unsup…