Refactoring an existing code base to improve modularity and quality , Souradeep Bhowmik. Stacked generative adversarial networks for learning additional features of image segmentation maps , Matthew John Burke. Compatibility testing for rooted phylogenetic trees , Yun Deng. Understanding intuitive gestures in wearable mixed reality environments , Karen Marie Doty. Model checking large design spaces: Theory, tools, and experiments , Rohit Dureja. Robotic batting and motion estimation of objects in free flight , Matthew Gardner.
Master Thesis Computer Network
Computer Science Project List| MSc Computer Science Project
By Uncategorized. Below, we outline the basic procedure you should follow when planning to do a thesis in our group. Please read the following carefully! You also might want to take a quick look at past topics students covered in their theses.
Pre-Master's M. Thesis M. Coursework PhD.
Causal inference, dealing with the questions of when and how we can make causal statements based on observational data, has been a topic of growing interest in the deep learning community recently. On the one hand, causal inference promises to provide traditional machine learning and AI with methods for explainability, domain adaptation, and causal reasoning capabilities in general. On the other hand, many deep learning methods for improving causal inference have been proposed. One active line of research has studied the use of deep latent variable models DLVM to address the important problem of unobserved confounding in causal models. While they have yielded promising results and theory exists on the identifiability of some simple model formulations, we also know that causal effects cannot be identified in general with latent variables.