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Kernel-Based Inference Methods for Ordinary Differential Equations

During my MSc in Statistics at Imperial I undertook a summer research project under the supervision of Dr Andrew Duncan. This project involved inference in generative models based on ODEs. In particular, an adjoint method for gradient descent in high-dimensional parameter spaces was studied.

This repository contains Jupyter Notebooks associated with this project, as well as a copy of the thesis I wrote for this project (the file named msc_thesis_yanni_papandreou.pdf).