Matthias W. Seeger, PhD

Saarland University and Max Planck Institute for Informatics Campus E1.4 66123 Saarbruecken Germany email: mseeger@mmci.uni-saarland.de phone: +49 681 30270797 fax: +49 681 9325499

Current Position

Head of the independent research group Probabilistic Machine Learning and Medical Image Processing within the DFG Excellence Cluster Multimodal Computing and Interaction.

Research Topics

• Magnetic resonance imaging: Improved sampling and processing
• Adaptive compressive sensing and Bayesian experimental design
• Low-level computer vision and image processing
• Variational approximations of Bayesian inference
• Bayesian inference for sparse generalized linear models
• Large scale Bayesian and kernel computations
• PAC-Bayesian learning theory and nonparametric information consistency
• Advanced Bayesian Gaussian process methods
• Sparse low rank Gaussian process approximations

News

• I recently taught a course on Bayesian Machine Learning: Graphical Models and Approximate Inference.

Overview

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• Here is my private homepage