- Gomersall, P., Turner, R.E., Baguley, D.M., Deeks, J.M., Gockel, H.E., and Carlyon, R. P. (2016). Perception of stochastic envelopes by normal-hearing and cochlear-implant listeners Hearing Research 333, 8-24

- Turner, R. E. and Sahani, M. (2014). Time-frequency analysis as probabilistic inference accepted to IEEE Transactions on Signal Processing. Supplementary material available here.

- Turner, R. E. and Sahani, M. (2011). Demodulation as Probabilistic Inference Transactions on Audio, Speech and Language Processing 19(8), 2398--2411. There is an associated webpage with code and a listing of other related publications here.

- Turner, R. E., Walters, T.C., and Patterson, R.D. (2009) Inferring speaker size from speech formant data: A theoretical basis for vocal-tract length estimation, J. Acoust. Soc. Am. 125(4)

- Jaques, N., Gu, S., Bahdanau D., Hernndez-Lobato J.M., Turner, R.E., Eck, D. Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control ICML

- Tripuraneni, N., Rowland, M. Ghahramani, Z., and Turner, R. E. (2017). Magnetic Hamiltonian Monte Carlo ICML

- Gu, S., Lillicrap, T., Ghahramani, Z., Turner, R.E., and Levine, S. (2017). Q-Prop: Sample-Efficient Policy Gradient with an Off-Policy Critic accepted for oral presentation at ICLR

- Navarro, A.K.W., Frellsen, J., and Turner, R.E. (2017). The Multivariate Generalised von Mises: Inference and applications accepted for oral presentation at AAAI2017

- Tobar, F., Bui, T. and Turner, R.E. (2015). Design of Covariance Functions using Inter-Domain Inducing Variables. Workshop on Time Series, NIPS 2015 Best paper prize winner.

- Li, Y., Hernandez-Lobato, J.M., and Turner, R.E. (2015). Stochastic Expectation Propagation. Advances in Neural Information Processing Systems (27), MIT Press. Awarded spotlight presentation.

- Tobar, F., Bui, T. and Turner, R.E. (2015). Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels. Advances in Neural Information Processing Systems (27), MIT Press. Awarded spotlight presentation.

- Bui, T., and Turner, R.E. (2014). Tree-structured Gaussian Process Approximations. Advances in Neural Information Processing Systems (26), MIT Press. Awarded spotlight presentation.

- Turner, R.E., and Sahani, M. (2012). Probabilistic amplitude and frequency demodulation. Advances in Neural Information Processing Systems (24), MIT Press. Awarded spotlight presentation.

- Turner, R.E., and Sahani, M. (2007) Probabilistic Amplitude Demodulation, Proceedings of the International Conference on Independent Components Analysis 2007 talk. Awarded best student paper.

- Turner, R. E., Statistical Models for Natural Sounds, UCL PhD? thesis. There are also a number of related audio demonstrations.

- Turner, R.E. and Sahani, M. (2010) Two problems with variational Expectation Maximisation for time-series models. In: Inference and Learning in Dynamic Models. Eds D. Barber, T. Cemgil and S. Chiappa, Cambridge University Press.
- Turner, R.E., Al-Hames, M.A, Smith, D.R.R., Kawahara, H., Irino, T. and Patterson, R.D. (2006) Vowel normalisation: Time-domain processing of the internal dynamics of speech. In: Dynamics of Speech Production and Perception. Eds P. Divenyi, S. Greenberg and G. Meyer, IOS Press, 153-170.

- Turner, R. E., Berkes, P., and Sahani, M. (2008) Two problems with variational Expectation Maximisation for time-series models , Presented at the Newton Institute, Cambridge, in the workshop on Inference and Estimation in Probabilistic Time-Series Models (Associated technical report with lots more examples). A video of the talk is available here.
- Turner, R.E., and Sahani, M. (2007) Modeling sounds with modulation cascade processes, Models of Sound and Music Cognition , (NIPS Workshop) talk.
- Turner, R.E., and Sahani, M. (2006) Modeling Natural Sounds with Gaussian Modulation Cascade Processes Advances in Models for Acoustic Processing, (NIPS Workshop) talk.

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