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 |
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