Publications

(2020). Neural decomposition: Functional anova with variational autoencoders. International Conference on Artificial Intelligence and Statistics.

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(2019). Augmented ensemble mcmc sampling in factorial hidden markov models. The 22nd International Conference on Artificial Intelligence and Statistics.

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(2018). Probabilistic Boolean Tensor Decomposition. International Conference on Machine Learning.

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(2018). MixDir: scalable Bayesian clustering for high-dimensional categorical data. 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

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(2017). The Hamming ball sampler. Journal of the American Statistical Association.

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(2011). Bayesian non-parametric hidden Markov models with applications in genomics. Journal of the Royal Statistical Society: Series B (Statistical Methodology).

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(2008). CNV discovery using SNP genotyping arrays. Cytogenetic and genome research.

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(2007). Quantitative image analysis of chromosome dynamics in early Drosophila embryos. 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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(2006). Bayesian Hidden Markov Models for Detecting Regions of Deletion and Duplication in the Human Genome using Illumina BeadChip Arrays. Signal Processing for Genomics, 2006. The Institution of Engineering and Technology Seminar on.

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