Scholar

Thomas Schön

Google Scholar ID: FUqUC2oAAAAJ

Professor, Uppsala University

Machine LearningArtificial intelligenceMonte Carlo methodsGaussian processesSystem Identification

Citations & Impact

All-time

Citations

11,048

H-index

i10-index

138

Publications

Co-authors

191

list available

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Background

Beijer Professor of Artificial Intelligence
Aims to automate the extraction of knowledge and understanding from data, enabling machines (and humans) to comprehend ongoing phenomena and acquire new skills
Develops novel probabilistic models and derives algorithms capable of learning these models from data
Emphasizes systematic use of probability to represent both known and unknown information
Particularly interested in dynamical phenomena evolving over time
Research is interdisciplinary, situated at the intersection of machine learning & statistics, signal processing, automatic control, and computer vision
Pursues both basic and applied research, maintaining close collaborations with various companies

Co-authors

191 total