Magda Gregorova
PhD researcher in mid-stage with strong mathematical background
Expertise in modern deep generative models (diffusion and flow models)
Solid understanding of probability, likelihood estimation, variational inference, and KL divergence
Familiarity with ODE and SDE formulations in generative modeling
Interest in physics-informed deep generative modeling considered an advantage
TECHNISCHE HOCHSCHULE WUERZBURG-SCHWEINFURT
Depending on the own preferences of the visiting researcher, the involvement could be either on the deep generative modelling with potential directions towards novelty vs memorization properties of the models, or on the use of flow models for inverse modelling of physical simulators (in the electrical engine domain). The objective of the visit should be a direction for a common paper to be finalized once back at home institution.
The visiting research will join my research group - currently 2 PhDs - and participate in all activities such as research discussion. The strength of the group is in its solid research focus on the fundamental questions of modern deep generative modelling from a theoretical perspective. The benefit for both the inviting and invited is primarily in knowledge sharing and exchange with the goal of common publication.
3 months
The group is English speaking.