I am interested in Machine Learning, specifically in studying graphical models for complex time series data. My thesis (recently completed) is titled "Composable, distributed-state models for high-dimensional time-series". I am co-supervised by Geoffrey Hinton and Sam Roweis.

Modeling Human Motion Using Binary Latent Variables
Supplementary Material (including videos and source code)
Graham Taylor, Geoffrey Hinton, and Sam Roweis (2007)
Proc. of Advances in Neural Information Processing Systems (NIPS) 19

Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style
Supplementary Material (including videos)
Graham Taylor and Geoffrey Hinton (2009)
Proc. of the 26th International Conference on Machine Learning (ICML). To appear.

Products of Hidden Markov Models: It Takes N>1 to Tango
Graham Taylor and Geoffrey Hinton (2009)
Proc. of the 25th Conference on Uncertainty in Artificial Intelligence (UAI). To appear.