Department of Engineering

Dr Rich Turner - Publications

Number of items: 41.

Article

Schlittenlacher, J and Turner, RE and Moore, BCJ (2018) A Hearing-Model-Based Active-Learning Test for the Determination of Dead Regions. Trends in Hearing, 22. 2331216518788215-. ISSN 2331-2165

Keshavarzi, M and Goehring, T and Zakis, J and Turner, RE and Moore, BCJ (2018) Use of a Deep Recurrent Neural Network to Reduce Wind Noise: Effects on Judged Speech Intelligibility and Sound Quality. Trends in Hearing, 22. 2331216518770964-.

Hernández-Lobato, JM and Li, Y and Rowland, M and Hernández-Lobato, D and Bui, TD and Turner, RE (2016) Black-Box α-divergence minimization. Proceedings of the 33rd International Conference on Machine Learning, 48. pp. 1511-1520.

Gomersall, PA and Turner, RE and Baguley, DM and Deeks, JM and Gockel, HE and Carlyon, RP (2016) Perception of stochastic envelopes by normal-hearing and cochlear-implant listeners. Hearing Research, 333. pp. 8-24. ISSN 0378-5955

Alexander, AG and Hensman, J and Turner, RE and Ghahramani, Z (2016) On sparse variational methods and the Kullback-Leibler divergence between stochastic processes. Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016. pp. 231-239.

Afzal, AM and Mussa, HY and Turner, RE and Bender, A and Glen, RC (2015) A multi-label approach to target prediction taking ligand promiscuity into account. Journal of Cheminformatics, 7. 24-. ISSN 1758-2946

Gu, S and Ghahramani, Z and Turner, RE (2015) Neural adaptive sequential Monte Carlo. Advances in Neural Information Processing Systems, 2015-J. pp. 2629-2637. ISSN 1049-5258

Leong, V and Stone, MA and Turner, RE and Goswami, U (2014) A role for amplitude modulation phase relationships in speech rhythm perception. Journal of the Acoustical Society of America, 136. pp. 366-381. ISSN 0001-4966

Christensen, HL and Turner, RE and Hill, SI and Godsill, SJ (2013) Rebuilding the limit order book: Sequential Bayesian inference on hidden states. Quantitative Finance, 13. pp. 1779-1799. ISSN 1469-7688

Turner, RE and Sahani, M (2012) Decomposing signals into a sum of amplitude and frequency modulated sinusoids using probabilistic inference. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. pp. 2173-2176. ISSN 1520-6149

Turner, RE and Sahani, M (2011) Demodulation as probabilistic inference. IEEE Transactions on Audio, Speech and Language Processing, 19. pp. 2398-2411. ISSN 1558-7916

Turner, RE and Sahani, M (2011) Probabilistic amplitude and frequency demodulation. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011.

Berkes, P and Turner, RE and Sahani, M (2009) A Structured Model of Video Reproduces Primary Visual Cortical Organisation. PLoS Computational Biology, 5.

Turner, RE and Walters, TC and Monaghan, JJM and Patterson, RD (2009) A statistical, formant-pattern model for segregating vowel type and vocal-tract length in developmental formant data. J ACOUST SOC AM, 125. pp. 2374-2386. ISSN 0001-4966

Turner, RE and Sahani, M (2007) A Maximum-Likelihood Interpretation for Slow Feature Analysis. Neural Computation, 19. pp. 1022-1038. ISSN 0899-7667

Smith, DRR and Patterson, RD and Turner, R and Kawahara, H and Irino, T (2005) The processing and perception of size information in speech sounds. Journal of the Acoustical Society of America, 117. pp. 305-318. ISSN 0001-4966

Hernández-Lobato, D and Hernández-Lobato, JM and Li, Y and Bui, T and Turner, RE Stochastic Expectation Propagation for Large Scale Gaussian Process Classification. (Unpublished)

Afzal, AM and Mussa, HY and Turner, RE and Bender, A and Glen, RC Target Fishing: A Single-Label or Multi-Label Problem? arXiv. (Unpublished)

Turner, RE and Bui, T and Yan, J A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation. Journal of Machine Learning Research. (Unpublished)

Nguyen, CV and Li, Y and Bui, TD and Turner, RE Variational Continual Learning. (Unpublished)

Book Section

Turner, RE and Sahani, M (2011) Two problems with variational expectation maximisation for time-series models. In: Bayesian Time series models. Cambridge University Press, pp. 109-130.

Lücke, J and Turner, RE and Sahani, M and Henniges, M (2009) Occlusive Components Analysis. In: Advances in Neural Information Processing Systems 22. UNSPECIFIED, pp. 1069-1077.

Turner, RE and Al-Hames, MA and Smith, DRR and Kawahara, H and Irino, T and Patterson, RD (2006) Vowel normalisation: Time-domain processing of the internal dynamics of speech. In: Dynamics of Speech Production and Perception. IOS Press, pp. 153-170.

Conference or Workshop Item

Gu, S and Lillicrap, T and Ghahramani, Z and Turner, RE and Levine, S (2019) Q-PrOP: Sample-efficient policy gradient with an off-policy critic. In: UNSPECIFIED.

Tucker, G and Bhupatiraju, S and Gu, S and Turner, RE and Ghahramani, Z and Levine, S (2018) The Mirage of Action-Dependent Baselines in Reinforcement Learning. In: ICML 2018: 35th International Conference on Machine Learning, 2018-7-10 to 2018-7-15, Stockholm, Sweden pp. 5015-5024..

De Matthews, AGG and Hron, J and Rowland, M and Turner, RE and Ghahramani, Z (2018) Gaussian process behaviour in wide deep neural networks. In: 6th International Conference on Learning Representations, 2018-4-30 to --.

Gu, S and Lillicrap, T and Ghahramani, Z and Turner, RE and Schölkopf, B and Levine, S (2017) Interpolated policy gradient: Merging on-policy and off-policy gradient estimation for deep reinforcement learning. In: UNSPECIFIED pp. 3847-3856..

Jaques, N and Gu, S and Bahdanau, D and Hernández-Lobato, JM and Turner, RE and Eck, D (2017) Sequence tutor: Conservative fine-tuning of sequence generation models with KL-control. In: UNSPECIFIED pp. 2587-2596..

Bui, TD and Nguyen, CV and Turner, RE (2017) Streaming sparse Gaussian process approximations. In: UNSPECIFIED pp. 3300-3308..

Li, Y and Turner, RE (2016) Rényi Divergence Variational Inference. In: Neural Information Processing Systems (NIPS 2016), 2016-12-5 to 2016-12-10, Barcelona, Spain pp. 1073-1081..

Turner, RE and Frellsen, J and Navarro, A (2016) The Multivariate Generalised von Mises distribution: Inference and applications. In: AAAI 2017, 2017-2-4 to 2017-2-9, San Francisco pp. 2394-2400..

Bui, TD and Hernández-Lobato, JM and Hernández-Lobato, D and Li, Y and Turner, RE (2016) Deep Gaussian processes for regression using approximate expectation propagation. In: UNSPECIFIED pp. 2187-2208..

Tobar, F and Bui, TD and Turner, RE (2015) Learning stationary time series using Gaussian processes with nonparametric kernels. In: UNSPECIFIED pp. 3501-3509..

Li, Y and Hernández-Lobato, JM and Turner, RE (2015) Stochastic expectation propagation. In: UNSPECIFIED pp. 2323-2331..

Turner, RE and Sahani, M (2010) Statistical inference for single- and multi-band probabilistic amplitude demodulation. In: UNSPECIFIED pp. 5466-5469..

Turner, RE and Sahani, M (2008) Modeling natural sounds with modulation cascade processes. In: UNSPECIFIED.

Berkes, P and Turner, RE and Sahani, M (2008) On sparsity and overcompleteness in image models. In: UNSPECIFIED.

Turner, RE and Sahani, M (2007) Probabilistic Amplitude Demodulation. In: UNSPECIFIED pp. 544-551..

Tripuraneni, N and Rowland, M and Ghahramani, Z and Turner, R Magnetic Hamiltonian Monte Carlo. In: ICML 2017, 2017-8-6 to 2017-8-11, International Conference Centre, Sydney Australia. (Unpublished)

Bui, TD and Hernández-Lobato, JM and Li, Y and Hernández-Lobato, D and Turner, RE Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation. In: UNSPECIFIED. (Unpublished)

Turner, RE and Bui, T and Li, Y and Cuong, N Variational continual learning. In: International Conference on Learning Representations, -- to --. (Unpublished)

This list was generated on Mon Aug 3 09:25:36 2020 BST.