Thesis

Automated Bayesian Hearing Aid Design
Hearing loss is a growing global issue, with projections indicating that one in four people will be affected by 2025. When left …
PDF
Reactive Probabilistic Programming for Scalable Bayesian Inference
The Bayesian framework is a crucial technology at the core of modern AI with applications such as speech and image recognition and …
PDF
Towards Universal Probabilistic Programming with Message Passing on Factor Graphs
This thesis presents efficient and automated probabilistic inference algorithms for intelligent system design. An intelligent system is …
PDF
Message Passing-based Inference in Hierarchical Autoregressive Models
According to this hypothesis, an agent (such as a brain) holds a generative probabilistic model for its sensory input signals. …
PDF
Message Passing Algorithms for Hierarchical Dynamical Models
Building models to understand patterns is one of the fundamental pursuits of science. Among such models, dynamical models are …
PDF
Automated design of Bayesian signal processing algorithms
Towards this goal, the current thesis advocates a problem-based iterative approach to algorithm design, rigorously based on …
PDF