Advisors

• Fredrik Gustafsson2013 · Linköpings universitet · doctoral
• Lennart Ljung2013 · Linköpings universitet · doctoral
• Thomas B. Schön2013 · Linköpings universitet · doctoral

Students10

• Abhijith S. Parackal“Crystal Symmetry and Machine Learning for Systematic Materials Discovery”2026 · Linköpings universitet · doctoral
• Joel Oskarsson“Modeling Spatio-Temporal Systems with Graph-based Machine Learning”2025 · Linköpings universitet · doctoral
• Amirhossein Ahmadian“Handling Novel and Out-Of-Distribution Data in Deep Learning”2025 · Linköpings universitet · doctoral
• Filip Ekström Kelvinius“Deep Learning for the Atomic Scale”2025 · Linköpings universitet · doctoral
• Amanda Olmin“Perspectives on Predictive and Annotation Uncertainty in Probabilistic Machine Learning”2024 · Linköpings universitet · doctoral
• David Widmann“Reliable Uncertainty Quantification in Statistical Learning”2023 · Uppsala universitet · doctoral
• Anna Wigren“Sequential Monte Carlo methods for conjugate state-space models”2022 · Uppsala universitet · doctoral
• Christian Andersson Naesseth“Machine learning using approximate inference”2018 · Linköpings universitet · doctoral
• Andreas Svensson“Machine learning with state-space models, Gaussian processes and Monte Carlo methods”2018 · Uppsala universitet · doctoral
• Johan Dahlin“Accelerating Monte Carlo methods for Bayesian inference in dynamical models”2016 · Linköpings universitet · doctoral

Advisors on Wikidata

Wikidata's own statements of who supervised whom, kept apart from the record's theses and never counted with them.

• Thomas B Schön

Students on Wikidata1

Wikidata's own statements of who supervised whom, kept apart from the record's theses and never counted with them.

• Christian A. Naessethborn 1986

Theses1

• “Particle filters and Markov chains for learning of dynamical systems”2013 · Linköpings universitet · doctoral

  also named on this thesis

  • Arnaud Doucetopponent

Sat beside the lineage

Theses they sat beside as committee member, examiner or in another role: never counted as advisor or student.

• Väinö Yrjänäinen“Probabilistic Embeddings and Reliable Bayesian Inference for Textual Data”opponent · 2026 · Uppsala universitet · doctoral
• Emir Konuk“Robust and generalizable AI for medical image processing”opponent · 2024 · KTH · doctoral