Software

ProbReM - A software framework to model Probabilistic Relational Models

Thesis

Approximate inference in probabilistic relational models [pdf]

Publications & Workshops

Kaelin, Fabian and Precup, Doina. An Approach to Inference in Probabilistic Relational Models using Block Sampling. Asian Conference on Machine Learning, 2010. 325-340. [pdf]

Kaelin, Fabian and Precup, Doina. Using MCMC in Probabilistic Relational Models. 2010. NIPS workshop on Markov Chain Monte Carlo methods.

Kaelin, Fabian and Monod, Maxime and Guerraoui, Rachid. Fair Gossiping. École Polytechnique Fédérale de Lausanne. 2007. Technical Report. [pdf]

Course Projects

Statistical Computer Vision - An Adaptive Color-Based Particle Filter [pdf]

Computational Biology Methods and Research - Fast HMM Mapping [pdf]