Amanda Olmin

PhD student

My research lies in the intersection between the fields of deep learning and probabilistic modelling. The aim is to develop deep learning models that can reason about uncertainties, such as those emerging from noise inherent in most data.

Publications

2022

2021

2020

Research

Probabilistic models and deep learning – bridging the gap

Probabilistic models and deep learning are two successful branches of machine learning. In this project, we will develop theory and methods related to the interplay between these technologies, enabling us to take advantage of the strengths of both.

Organisation

The Division of Statistics and Machine Learning (STIMA)

We conduct research in the intersection of Statistics/Computer Science and host; the bachelor's programme Statistik och dataanalys, the international master's programme Statistics and Data Mining and the Machine Learning courses for engineers.

Department of Computer and Information Science (IDA)

One of the largest departments in northern Europe in computer and information science. Research covers AI; cognition, interaction and design; software and computer systems and data science. IDA administers research, doctoral studies and education.

Campus Valla

Valla is the oldest and largest campus of Linköping University with students from many programmes and research in many fields. Campus Valla is located about three kilometres from Linköping city centre.