Dr R.E. Turner

Name:	Dr R.E. Turner
Affiliation:	Department of Engineering
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Fri Sep 20 19:14:50 +0000 2024

Public lists managed by Dr R.E. Turner

• Hearing Group Meetings
• Machine Learning @ CUED
• Machine Learning Reading Group @ CUED

Talks given by Dr R.E. Turner

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Iterative shaping of signal envelopes: a useful tool for hearing research?
• Hearing research in Cambridge: the present and future
• Demodulation and time-frequency analysis as inference

Talks organised by Dr R.E. Turner

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Dr R.E. Turner actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Consistent Validation for Predictive Methods in Spatial Settings
• Compositional mathematics and automatic gradient descent
• Gaussian processes, spectral analysis kernels and optimal transport
• Presenting Hawk-Eye’s Skeletrack: Our machine learning approach to building a real time skeletal tracking system for sports, and how we're using it to shape the future of fan engagement
• Noise-Aware Differentially Private Synthetic Data
• Models and inference for temporal Gaussian processes
• Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency
• Learning-Algorithms from Bayesian Principles
• Gaussian processes for inferring latent functions in complex data models
• Fast yet Simple Natural-Gradient Variational Inference in Complex Models
• Structure in tensor-variate data: a trivial byproduct of simpler phenomena?
• Variational inference for some models with Polya-Gamma latent variables and Gaussian process priors
• Nonlinear ICA using temporal structure: a principled framework for unsupervised deep learning
• Population Inference for Functional Brain Connectivity
• Probabilistic approaches to understanding bird conversations
• Hearing research in Cambridge: the present and future