Theses - Applied Mathematics and Theoretical Physics
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Topics in conditional causal inference
With the growth of complex experimental designs and large-scale observational data, causal questions arising in applications are now more targeted and precise. For example, one might ask if the treatment is effective at a ... -
Precision QCD and effective field theories with machine learning
The Standard Model (SM) serves as one the best descriptions of fundamental physics we have and the quest for its falsification has led to it being tested to an unprecedented degree. Despite its flawless performance, there ... -
Secular Dynamics of Self-gravitating Debris Discs
Debris discs are the leftovers from the epoch of planetary formation, akin to the Solar System's asteroid and Kuiper belts. They preserve a record of the physical processes at work throughout the system's age, not least ... -
Machine Learning in Inverse Problems - Learning Regularisation Functionals and Operator Corrections
In this thesis, we investigate properties of deep neural networks and their application to inverse problems. A successful classical approach to inverse problems is variational regularisation, combining knowledge and ...
