Tammo Rukat

Tammo Rukat

Matrix Factorisation, Bayesian Neural Nets, Deep Generative Models, Statistical Genetics

I am a student with Chris Holmes and Christopher Yau in the Department of Statistics and at the Wellcome Trust Centre for Human Genetics at the University of Oxford.

I am doing my doctorate within the framework of the Systems Approaches to Biomedical Sciences Centre for Doctoral Training.

Publications

2017

  • T. Rukat, C. C. Holmes, M. K. Titsias, C. Yau, Bayesian Boolean Matrix Factorisation, arXiv preprint arXiv:1702.06166, 2017.
  • T. Rukat, C. C. Holmes, M. K. Titsias, C. Yau, Bayesian Boolean Matrix Factorisation, 2017.

2015

  • T. Rukat, A. Baker, A. Quinn, M. Woolrich, Resting state brain networks from EEG: Comparing hidden Markov states with classical microstates, Proceedings of the 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI), Dec. 2015.
  • T. Rukat, Distributed analysis of expression quantitative trait loci in Apache Spark, Jul-2015.
  • T. Rukat, S. A. Reinsberg, A Bayesian Information Criterion for Multi-Model Inference in DCE-MRI, in Proc. Intl. Soc. Mag. Reson. Med. 23 (2015) 2339, 2015, no. 2339.
  • T. Rukat, S. Walker-Samuel, S. A. Reinsberg, Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties, Magnetic Resonance in Medicine, vol. 73, 1979–1987, 2015.

2014

  • T. Rukat, S. A. Reinsberg, Information Criteria weighted Parameter Estimates in DCE-MRI, in Proc. Intl. Soc. Mag. Reson. Med. 22 (2014) 2741, 2014, no. 2741.

2013

  • T. Rukat, Parameter Uncertainties in Tracer Kinetic Modelling of Dynamic Contrast Enhanced MRI, Master's thesis, Humboldt University Berlin / University of British Columbia, 2013.
  • T. Rukat, S. Walker-Samuel, S. A. Reinsberg, AIF Induced Limits of Parameter Uncertainty in Pharmakokinetic Models of Pre-Clinical DCE-MRI, in Proc. Intl. Soc. Mag. Reson. Med. 21 (2013) 2214, 2013, no. 2214.