Graduate students working with Marcus Frean

(this pic is not the current crop, but shows Festival of Doubt attendees Tim Sherry, Arindam Bhakta, Mona Hakami, Praveen Choppala, David Wang and Anna Friedlander)

Current students

who	what	co-supervisors
Amr Morssy	Using generative models for inverse problems	A/Prof Paul Teal
Davis Cooper	Metric learning	Prof. Stephen Marsland

Previous graduate students

PhD
Muru Raj Odiathevar	Novelty detection in network data	2021
Mashall Aryan	Sample-efficient Optimization Using Neural Networks	2020
Kurt Ma	Deep articulated Hand Tracking with RGB camera	2022
Fabian Labra-Sprohnle	The Dynamic Patterns of Thinking in Attention-Deficit/Hyperactive Disorder (ADHD)	2018
Arindam Bhakta	Epistemic guidance of visual attention for robotic agents	2019
Praveen Choppala	Bayesian multi-target tracking with particle filters	2014
Zakwan Al-Arnaout	Content Replication and Placement Schemes for Wireless Mesh Networks	2014
Rohitash Chandra	Problem Decomposition and Adaptation in Cooperative Neuro-evolution	2012
Sergio Hernandez	State Estimation and Smoothing for the Probability Hypothesis Density Filter	2010
Phillip Boyle	Gaussian processes for regression and optimisation	2007
Richard Mansfield	Stability and Evolution in Rock-paper-scissors Ecologies	2006
MSc
Valerie Chan	Record linkage on Māori land data to find and connect the missing	2020
Tony Butler-Yeoman	Learning to Disentangle the Complex Causes of Data	2017
Tim Sherry	Real Time Blind Source Separation in Reverberant Environments	2014
Anna Friedlander	Dirichlet methods for Bayesian source detection in radio astronomy images	2014
James Bebbington	Learning Actions that Reduce (Perceived) Variation in Objects	2011
Jim Barritt	Spatially explicit simulation of individual foraging behaviour across patchy resources	2006
Russell Tod	Online unsupervised learning and inference with networks of spiking neurons	2006
Tim Field	Policy gradient learning for motor control	2005
Jerome Dolman	Exploring mechanisms of retinotectal development	2006
Honours projects
Charlene Leong	Machine learning for reading traditional Chinese characters in historical NZ papers	2019
Harry Ross	Scaffolding: training ultra-deep neural networks	2017
Daniel Braithwaite	Logical neural nets: opening the black box	2017
Paul Mathews	Recurrent Tensor Networks	2016
Colin Douch	Embedding logic in neural nets	2016
Jack Laurenson	Learning logical activation functions in neural nets	2016
Alex Telfar	Novelty detection with deep nets	2016
David Blackford	The benefits of "Soft" Dimensionality Reduction with the tSNE algorithm	2013
Thomas Robinson	Evaluation of an optimization algorithm	2011
Michael Mudge	Efficient Global Optimization for Expensive Functions	2010
Kieran Paton	Emergence of mutualisms in simple agent-based bartering economies	2006
Shane Gibbs	Emergent Mutualisms in an Agent-Based Economic Simulation	2005
Emanuel Rabina	Reciprocal Altruism for Dummies	2005
Russell Tod	Spiking Neuron models for Control	2004
Matt Lilley	Gaussian processes as neural networks	2004
Jerome Dolman	Evolution of topographical mappings in the brain	2003
Justin Rens	Dynamic neural architectures	2003
Nicolas Croad	Hybrid systems for chess (postscript)	2002
Tim Field	Adaptive Behaviour in Physically-Based Simulation	2001
Richard Procter	Sex and the Altruist	2001
Gareth Cranefield	Investigating spatial ecologies	2001
Richard Mansfield	The evolution of policing	2000
Tim Robinson	Biologically plausible back-propagation	2000
Masters in Computer Science
Daniel Kahu	Record Linkage for Māori Land data
Asher Stout	Diffusion models

(this pic was 2004 or so: Richard Mansfield, Phillip Boyle and Jerome Dolman)

Other projects and essays

Brett Calcott	A Spatial Model of Foraging Competition amongst Ant Species
Brett Calcott	Learning and evolution: Tarbutniks
Pippin Barr	Evolution of Language

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