@article{xu.etal:2023, author={Xu, Haitao and Szymanski, Lech and McCane, Brendan}, journal={IEEE Transactions on Neural Networks and Learning Systems}, title={VASE: Variational Assorted Surprise Exploration for Reinforcement Learning}, year={2023}, volume={34}, number={3}, pages={1243--1252}, url={https://doi.org/10.1109/TNNLS.2021.3105140}, doi={10.1109/TNNLS.2021.3105140} }

@phdthesis{thomasmastersthesis2021, author = {Craig Thomas}, title = {Forcing Neural Networks to Behave Using Interpretability Methods}, school = {University of Otago}, year = 2022, url = {http://hdl.handle.net/10523/12669} }

@article{Szymanski.etal:2021, title = {Conceptual complexity of neural networks}, journal = {Neurocomputing}, volume = {469}, pages = {52-64}, year = {2022}, issn = {0925-2312}, doi = {https://doi.org/10.1016/j.neucom.2021.10.063}, url = {https://doi.org/10.1016/j.neucom.2021.10.063}, author = {Lech Szymanski and Brendan McCane and Craig Atkinson}, keywords = {deep learning, learning theory, complexity measures}, }

@phdthesis{xuphdthesis, author = {Haitao Xu}, title = {Intrinsic reward driven exploration for deep reinforcement learning}, school = {University of Otago}, year = 2021, url = {http://hdl.handle.net/10523/10636} }

@INPROCEEDINGS{9653248, author={Szymanski, Lech and Lee, Michael}, booktitle={International Conference on Image and Vision Computing New Zealand (IVCNZ)}, title={Coarse facial feature detection in sheep}, year={2021}, volume={}, number={}, pages={1-6}, doi={10.1109/IVCNZ54163.2021.9653248}, url={https://doi.org/10.1109/IVCNZ54163.2021.9653248} }

@article{atkinson2020pseudo, title = "Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting", journal = "Neurocomputing", volume = "428", pages = "291 - 307", year = "2021", issn = "0925-2312", doi = "https://doi.org/10.1016/j.neucom.2020.11.050", url = "http://www.sciencedirect.com/science/article/pii/S0925231220318439", author = "Craig Atkinson and Brendan McCane and Lech Szymanski and Anthony Robins", }

@phdthesis{atkinsonphdthesis:2020, author = {Craig Atkinson}, title = {Achieving continual learning in deep neural networks through pseudo-rehearsal}, school = {University of Otago}, year = 2020, url = {http://hdl.handle.net/10523/10385} }

@phdthesis{yanphdthesis, author = {Xiaogang Yan}, title = {Neural network models for learning representations of 3D objects via tactile exploration}, school = {University of Otago}, year = 2020, url = {http://hdl.handle.net/10523/10399} }

@article{xu.etal:2020, title={MIME: Mutual Information Minimisation Exploration}, author={Haitao Xu and Brendan McCane and Lech Szymanski and Craig Atkinson}, journal={arXiv preprint arXiv:2001.05636}, url={https://arxiv.org/abs/2001.05636}, year={2020} }

@INPROCEEDINGS{vanSintAnnaland.etal2020, author={Y. v. S. Annaland and L. Szymanski and S. Mills}, booktitle={2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)}, title={Predicting Cherry Quality Using Siamese Networks}, year={2020}, pages={1-6}, doi={10.1109/IVCNZ51579.2020.9290674}, url={https://doi.org/10.1109/IVCNZ51579.2020.9290674} }

@INPROCEEDINGS{Szymanski.etal2020a, author={L. Szymanski and M. Lee}, booktitle={2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)}, title={Deep Sheep: kinship assignment in livestock from facial images}, year={2020}, pages={1-6}, doi={10.1109/IVCNZ51579.2020.9290558}, url={https://doi.org/10.1109/IVCNZ51579.2020.9290558} }

@article{lechszym.etal:2020, title={Switched linear projections for neural network interpretability}, author={Szymanski, Lech and McCane, Brendan and Atkinson, Craig}, journal={arXiv preprint arXiv:1909.11275}, url={https://arxiv.org/abs/1909.11275}, year={2020} }

@BOOK{gavaghan2020, AUTHOR = "Gavaghan, C and Knott, A and Maclaurin, J and Zerilli, J and Liddicoat, J", TITLE = "Government use of Artificial Intelligence in New Zealand", PUBLISHER = "New Zealand Law Foundation", ADDRESS = "Wellington, New Zealand", URL = "https://www.cs.otago.ac.nz/research/ai/AI-Law/NZLF%20report.pdf", YEAR = 2020 }

@article{atkinson.etal:2019, title={GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal}, author={Craig Atkinson and Brendan McCane and Lech Szymanski and Anthony Robins}, journal={arXiv preprint arXiv:1911.11988}, url={https://arxiv.org/abs/1911.11988}, year={2019} }

@ARTICLE{butz2019, AUTHOR = "Butz, M and Bilkey, D and Humaidan, D and Knott, A", TITLE = "Learning, planning and control in a monolithic neural event inference architecture", JOURNAL = "Neural Networks", VOLUME = 117, PAGES = "135--144", URL = "https://www.sciencedirect.com/science/article/pii/S0893608019301339/pdfft?md5=7a1c1f5e4645339b60726af92b5b0582&pid=1-s2.0-S0893608019301339-main.pdf", Year = 2019 }

@ARTICLE{zerilli2019, AUTHOR = "Zerilli, J and Knott, A and Maclaurin, J and Gavaghan, C", TITLE = "Algorithmic Decision-Making and the Control Problem", JOURNAL = "Minds and Machines", VOLUME = 29, PAGES = "555--578", URL = "https://link.springer.com/article/10.1007/s11023-019-09513-7", YEAR = 2019 }

@ARTICLE{zerilli2018, AUTHOR = "Zerilli, J and Knott, A and Maclaurin, J and Gavaghan, C", TITLE = "Transparency in Algorithmic and Human Decision-Making: Is There a Double Standard?", JOURNAL = "Philosophy and Technology", VOLUME = 32, PAGES = "661--683", YEAR = 2018, URL = "https://link.springer.com/content/pdf/10.1007%2Fs13347-018-0330-6.pdf", DOI = "10.1007/s13347-018-0330-6" }

@inproceedings{xu2018twin, title={Twin Bounded Large Margin Distribution Machine}, author={Xu, Haitao and McCane, Brendan and Szymanski, Lech}, booktitle={Australasian Joint Conference on Artificial Intelligence}, pages={718--729}, year={2018}, url={https://link.springer.com/chapter/10.1007/978-3-030-03991-2_64}, organization={Springer} }

@book{yan2018a, title={A neural network model for learning to represent 3D objects via tactile exploration: technical appendix}, author={Yan, Xiaogang and Knott, Alistair and Mills, Steven}, year={2018}, url={https://www.otago.ac.nz/computer-science/otago685604.pdf}, publisher={Department of Computer Science, University of Otago} }

@inproceedings{yan2018model, title={A Model for Learning Representations of 3D Objects Through Tactile Exploration: Effects of Object Asymmetries and Landmarks}, author={Yan, Xiaogang and Knott, Alistair and Mills, Steven}, booktitle={Australasian Joint Conference on Artificial Intelligence}, pages={271--283}, year={2018}, url = {https://www.springerprofessional.de/en/a-model-for-learning-representations-of-3d-objects-through-tacti/16309864}, organization={Springer} }

@inproceedings{yan2018neural, title={A neural network model for learning to represent 3D objects via tactile exploration.}, author={Yan, Xiaogang and Knott, Alistair and Mills, Steven}, booktitle={CogSci}, URL = "https://www.cs.otago.ac.nz/research/student-publications/Xiaogang-Yan-CogSci2018.pdf", year={2018} }

@article{atkinson2018pseudo-recursal, title={Pseudo-recursal: Solving the catastrophic forgetting problem in deep neural networks}, author={Atkinson, Craig and McCane, Brendan and Szymanski, Lech and Robins, Anthony}, journal={arXiv preprint arXiv:1802.03875}, url={https://arxiv.org/abs/1802.03875}, year={2018} }

@techreport{Szymanski.etal2012b, author = {Lech Szymanski and Chris Gorman and Alistair Knott and Brendan McCane and Martin Takac}, title = {On Learning Object Properties in Convolutional Neural Networks via an Inhibition of Return (IOR) Mechanism}, number = {OUCS-2018-04}, institution = {Department of Computer Science, University of Otago}, year = {2018}, url = {https://www.otago.ac.nz/computer-science/otago702113.pdf} }

@article{Szymanski.etal2018a, author = {Lech Szymanski and Brendan McCane and Michael Albert}, title = {The effect of the choice of neural network depth and breadth on the size of its hypothesis space}, journal = {CoRR}, volume = {abs/1806.02460}, year = {2018}, url = {http://arxiv.org/abs/1806.02460}, archivePrefix = {arXiv}, eprint = {1806.02460}, timestamp = {Mon, 13 Aug 2018 16:47:32 +0200}, biburl = {https://dblp.org/rec/bib/journals/corr/abs-1806-02460}, bibsource = {dblp computer science bibliography, https://dblp.org} }

@INPROCEEDINGS{Clark-Younger.etal:2018, author={H. Clark-Younger and S. Mills and L. Szymanski}, booktitle={2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)}, title={Stacked Hourglass CNN for Handwritten Character Location}, year={2018}, pages={1-6}, url={https://doi.org/10.1109/IVCNZ.2018.8634694} }

@ARTICLE{takac2017, AUTHOR = "Takac, M and Knott, A and Stokes, S", TITLE = "What can Neighbourhood Density effects tell us about word learning? Insights from a connectionist model of vocabulary development", JOURNAL = "Journal of Child Language", YEAR = 2017, VOLUME = 44, NUMBER = 2, URL = "https://doi.org/10.1017/S0305000916000052", PAGES = "346--379"}

@ARTICLE{gorman2017, TITLE = "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious and prototypical attractors", AUTHOR = "Gorman, C and Robins, A and Knott, A", JOURNAL = "Neural Networks", URL = "https://www.sciencedirect.com/science/article/pii/S0893608017300874/pdfft?md5=a1c0455e7a6a6c428bf480a60b83fb81&pid=1-s2.0-S0893608017300874-main.pdf", YEAR = 2017}

@article{mccane.etal2017a, author = {Brendan McCane and Lech Szymanski}, title = {Efficiency of deep networks for radially symmetric functions}, journal = {Neurocomputing}, volume = {313}, pages = {119--124}, year = {2017}, url = {https://doi.org/10.1016/j.neucom.2018.06.003} }

@inproceedings{atkinson2017increasing, title={Increasing the accuracy of convolutional neural networks with progressive reinitialisation}, author={Atkinson, Craig and McCane, Brendan and Szymanski, Lech}, booktitle={2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)}, pages={1--5}, year={2017}, url={https://doi.org/10.1109/IVCNZ.2017.8402457}, organization={IEEE} }

@article{Szymanski.etal:2017b, author = {Lech Szymanski and Brendan McCane and Wei Gao and Zhi{-}Hua Zhou}, title = {Effects of the optimisation of the margin distribution on generalisation in deep architectures}, journal = {CoRR}, volume = {abs/1704.05646}, year = {2017}, url = {http://arxiv.org/abs/1704.05646}, archivePrefix = {arXiv}, eprint = {1704.05646}, timestamp = {Mon, 13 Aug 2018 16:47:28 +0200}, biburl = {https://dblp.org/rec/bib/journals/corr/SzymanskiMGZ17}, bibsource = {dblp computer science bibliography, https://dblp.org} }

@INPROCEEDINGS{Szymanski.etal:2017a, author={L. Szymanski and S. Mills}, booktitle={2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)}, title={CNN for historic handwritten document search}, year={2017}, pages={1-6}, url={https://doi.org/10.1109/IVCNZ.2017.8402461} }

@inproceedings{McCane.etal:2016a, author={B. McCane and L. Szymanski}, booktitle={2016 23rd International Conference on Pattern Recognition (ICPR)}, title={Deep networks are efficient for circular manifolds}, year={2016}, pages={3464-3469}, url={https://doi.org/10.1109/ICPR.2016.7900170} }

@ARTICLE{leehand2015, AUTHOR = "Lee-Hand, J and Knott, A", TITLE = "A neural network model of causative actions", JOURNAL = "Frontiers in Neurorobotics", VOLUME = 9, YEAR = 2015, URL = "http://journal.frontiersin.org/article/10.3389/fnbot.2015.00004/full", PAGES = "Article 4" }

@ARTICLE{walles2014, AUTHOR = "Walles, H and Robins, A and Knott, A", TITLE = "A perceptually grounded model of the singular-plural distinction", JOURNAL = "Language and Cognition", VOLUME = 6, PAGES = "1--43", URL = "http://dx.doi.org/10.1017/langcog.2014.9", YEAR = 2014 }

@ARTICLE{knott2014c, AUTHOR = "Knott, A", TITLE = "Syntactic structures as descriptions of sensorimotor processes", JOURNAL = "Biolinguistics", VOLUME = 8, PAGES = "1--52", URL = "http://www.biolinguistics.eu/index.php/biolinguistics/article/view/327", YEAR = "2014" }

@ARTICLE{guise2014, AUTHOR = "Guise, M and Knott, A and Benuskova, L", TITLE = "A Bayesian model of polychronicity", JOURNAL = "Neural Computation", YEAR = 2014, VOLUME = 26, NUMBER = 9, URL = "http://www.mitpressjournals.org/doi/pdf/10.1162/NECO_a_00620", PAGES = "2052--2073" }

@article{Szymanski.etal:2014, author={L. Szymanski and B. McCane}, journal={IEEE Transactions on Neural Networks and Learning Systems}, title={Deep Networks are Effective Encoders of Periodicity}, year={2014}, volume={25}, number={10}, pages={1816-1827}, doi={10.1109/TNNLS.2013.2296046}, url={https://doi.org/10.1109/TNNLS.2013.2296046} }

@INPROCEEDINGS{Szymanski.etal:2013a, author={L. Szymanski and B. McCane}, booktitle={The 2013 International Joint Conference on Neural Networks (IJCNN)}, title={Learning in deep architectures with folding transformations}, year={2013}, pages={1-8}, url={https://doi.org/10.1109/IJCNN.2013.6706945} }

@INPROCEEDINGS{Martin.etal:2013a, author={S. Martin and L. Szymanski}, booktitle={2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013)}, title={Singularity resolution for dimension reduction}, year={2013}, pages={19-24}, url={https://doi.org/10.1109/IVCNZ.2013.6726986} }

@ARTICLE{caza2012, AUTHOR = "Caza, G and Knott, A", TITLE = "Pragmatic bootstrapping: A neural network model of vocabulary acquisition", JOURNAL = "Language Learning and Development", VOLUME = 8, PAGES = "1--23", URL = "http://www.tandfonline.com/doi/full/10.1080/15475441.2011.581144", YEAR = "2012" }

@ARTICLE{takac2012, AUTHOR = "Takac, M and Benuskova, L and Knott, A", TITLE = "Mapping sensorimotor sequences to word sequences: A connectionist model of language acquisition and sentence generation", JOURNAL = "Cognition", VOLUME = 125, PAGES = "288--308", URL = "http://dx.doi.org/10.1016/j.cognition.2012.06.006", YEAR = "2012" }

@BOOK{knott2012, AUTHOR = "Knott, A", TITLE = "Sensorimotor Cognition and Natural Language Syntax", PUBLISHER = "MIT Press", ADDRESS = "Cambridge, MA", URL = "https://mitpress.mit.edu/books/sensorimotor-cognition-and-natural-language-syntax", YEAR = 2012 }

@INPROCEEDINGS{Szymanski.etal:2012b, author={L. Szymanski and B. McCane}, booktitle={The 2012 International Joint Conference on Neural Networks (IJCNN)}, title={Push-pull separability objective for supervised layer-wise training of neural networks}, year={2012}, pages={1-8}, url = {https://doi.org/10.1109/IJCNN.2012.6252366} }

@phdthesis{Szymanski:2012a, Author = {Lech Szymanski}, School = {University of Otago}, Title = {Deep architectures and classification by intermediary transformations}, Url = {http://hdl.handle.net/10523/2129}, Year = {2012} }

@INPROCEEDINGS{Szymanski.etal:2012a, author={L. Szymanski and B. McCane}, booktitle={The 2012 International Joint Conference on Neural Networks (IJCNN)}, title={Deep, super-narrow neural network is a universal classifier}, year={2012}, pages={1-8}, url={https://doi.org/10.1109/IJCNN.2012.6252513} }

@inproceedings{Szymanski.etal:2011c, Author = {Lech Szymanski and Brendan McCane}, Booktitle = {Proceedings of Image and Vision Computing New Zealand}, Pages = {449-452}, Title = {Visualising Kernel Spaces}, Year = {2011} }

@ARTICLE{webb2010, AUTHOR = "Webb, A and Knott, A and MacAskill, M", TITLE = "Eye movements during transitive action observation have sequential structure", JOURNAL = "Acta Psychologica", VOLUME = 133, PAGES = "51--56", URL = "https://www.cs.otago.ac.nz/staffpriv/alik/papers/webb2010.pdf", YEAR = "2010" }

@ARTICLE{walles2008, AUTHOR = "Walles, H and Knott, A and Robins, A", TITLE = "A model of cardinality blindness in inferotemporal cortex", JOURNAL = "Biological Cybernetics", VOLUME = 98, NUMBER = 5, PAGES = "427--437", URL = "http://dx.doi.org/10.1007/s00422-008-0229-x", YEAR = 2008 }