Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning 

Brando Guillaumes, Axel (Date of defense: 2022-07-18)

Nowadays, we live in an intrinsically uncertain world from our perspective. We do not know what will happen in the future but, to infer it, we build the so-called models. These models are abstractions of the world we live ...