| 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 |
|
