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Symmetry-protected topological phases: From Floquet theory to machine learning
(2020-08-18)
It is by now a well known fact that boundary states in conventional time-independent
topological insulators are protected against perturbations that preserve relevant
symmetries. In the first part of this thesis, ...
Deep Learning Applications - From image analysis to medical diagnosis
(2021-05-11)
Deep learning is a subcategory of machine learning and artificial intelligence. Instead of using explicit rules to perform a desired task as in standard algorithmic approaches, machine-learning algorithms autonomously learn ...
Advancing Evolutionary Biology: Genomics, Bayesian Statistics, and Machine Learning
(2020-11-20)
During the recent decades the field of evolutionary biology has entered the era of big data, which has transformed the field into an increasingly computational discipline. In this thesis I present novel computational method ...