fabian.schneider@asc.tuwien.ac.at

Forschung

• Bayesian inverse problems
• Score-based diffusion models

Publikationen

• Schneider, F., Helin, T., and Taghizadeh, L.  A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems, arXiv E-print, 2026.
• Schneider, F., Mozumder, M., Tamarov, K., Taghizadeh, L., Tarvainen, T., Helin, T., and Duong, D.-L. Score-based diffusion models for diffuse optical tomography with uncertainty quantification, arXiv E-print, 2026.

• Schneider, F., Duong, D.-L., Lassas, M., Hoop, M. V. de, and Helin, T. An Unconditional Representation of the Conditional Score in Infinite Dimensional Linear Inverse Problems. In Transactions on Machine Learning Research, 2025.

   

PhD Dissertation

• Score-Based Diffusion Models in Bayesian Inverse Problems (2026)