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Lech Szymanski
Lech Szymanski
Verified email at otago.ac.nz - Homepage
Title
Cited by
Cited by
Year
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting
C Atkinson, B McCane, L Szymanski, A Robins
Neurocomputing 428, 291-307, 2021
992021
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks
C Atkinson, B McCane, L Szymanski, A Robins
arXiv preprint arXiv:1802.03875, 2018
832018
Deep Networks are Effective Encoders of Periodicity
L Szymanski, B McCane
IEEE Transactions on Neural Networks and Learning Systems 25 (10), 1816-1827, 2014
542014
Hierarchical Structure from Motion from Endoscopic Video
S Mills, L Szymanski, R Johnson
Proceedings of the 29th International Conference on Image and Vision …, 2014
152014
Hierarchical structure from motion optical flow algorithms to harvest three-dimensional features from two-dimensional neuro-endoscopic images
R Johnson, L Szymanski, S Mills
Journal of Clinical Neuroscience 22 (2), 378-382, 2015
112015
Spanning tree algorithm for spare network capacity
L Szymanski, OWW Yang
Canadian Conference on Electrical and Computer Engineering 2001. Conference …, 2001
92001
Twin bounded large margin distribution machine
H Xu, B McCane, L Szymanski
AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018
82018
Deep Radial Kernel Networks: Approximating Radially Symmetric Functions with Deep Networks
B McCane, L Szymanski
arXiv preprint arXiv:1703.03470, 2017
82017
Visualising kernel spaces
L Szymanski, B McCane
Image and Vision Computing New Zealand (IVCNZ), 449-452, 2011
82011
Deep, super-narrow neural network is a universal classifier
L Szymanski, B McCane
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
72012
Deep Sheep: kinship assignment in livestock from facial images
L Szymanski, M Lee
2020 35th International Conference on Image and Vision Computing New Zealand …, 2020
62020
Comb filter decomposition for robust ASR.
L Szymanski, M Bouchard
InterSpeech, 2645-2648, 2005
62005
Auto-JacoBin: Auto-encoder Jacobian Binary Hashing
X Fu, B McCane, S Mills, M Albert, L Szymanski
arXiv preprint arXiv:1602.08127, 2016
52016
Learning in deep architectures with folding transformations
L Szymanski, B McCane
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
52013
Predicting Cherry Quality Using Siamese Networks
Y van Sint Annaland, L Szymanski, S Mills
2020 35th International Conference on Image and Vision Computing New Zealand …, 2020
42020
Efficiency of deep networks for radially symmetric functions
B McCane, L Szymanski
Neurocomputing 313, 119-124, 2018
42018
Vase: Variational assorted surprise exploration for reinforcement learning
H Xu, L Szymanski, B McCane
IEEE Transactions on Neural Networks and Learning Systems, 2021
32021
Deep networks are efficient for circular manifolds
B McCane, L Szymanskic
2016 23rd International Conference on Pattern Recognition (ICPR), 3464-3469, 2016
32016
Conceptual complexity of neural networks
L Szymanski, B McCane, C Atkinson
Neurocomputing 469, 52-64, 2022
22022
MIME: Mutual Information Minimisation Exploration
H Xu, B McCane, L Szymanski, C Atkinson
arXiv preprint arXiv:2001.05636, 2020
22020
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