Petar Jovanovski
I am a PhD student on the research project "Simulation-based Bayesian inference and deep learning for stochastic modelling" where I will be supervised by Umberto Picchini. The goal of this project is to marry modern machine learning methodology such as deep neural networks with simulation-based inference methods to create novel "plug-and-play" engines for parameter inference and uncertainty quantification.
Showing 1 publications
Towards data-conditional simulation for ABC inference in stochastic differential equations
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Showing 1 research projects
Deep learning and likelihood-free Bayesian inference for stochastic modelling