Arnu Pretorius
Arnu Pretorius
Research Scientist, InstaDeep Ltd
Verified email at instadeep.com - Homepage
Title
Cited by
Cited by
Year
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
R Eloff, A Nortje, B van Niekerk, A Govender, L Nortje, A Pretorius, ...
arXiv preprint arXiv:1904.07556, 2019
202019
A meta-analysis of research in random forests for classification
A Pretorius, S Bierman, SJ Steel
2016 Pattern Recognition Association of South Africa and Robotics and …, 2016
172016
Critical initialisation for deep signal propagation in noisy rectifier neural networks
A Pretorius, E Van Biljon, S Kroon, H Kamper
Advances in Neural Information Processing Systems, 5722-5731, 2018
112018
Learning dynamics of linear denoising autoencoders
A Pretorius, S Kroon, H Kamper
International Conference on Machine Learning, 2018
72018
Human decision making and artificial intelligence: a comparison in the domain of sports prediction
A Pretorius, DA Parry
Proceedings of the Annual Conference of the South African Institute of …, 2016
72016
A bias-variance analysis of ensemble learning for classification
A Pretorius, S Bierman, SJ Steel
Annual Proceedings of the South African Statistical Association Conference …, 2016
32016
On optimal transformer depth for low-resource language translation
E Van Biljon, A Pretorius, J Kreutzer
arXiv preprint arXiv:2004.04418, 2020
22020
Building a Computer Mahjong Player via Deep Convolutional Neural Networks
S Gao, F Okuya, Y Kawahara, Y Tsuruoka
arXiv preprint arXiv:1906.02146, 2019
22019
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
A Pretorius, E Van Biljon, B van Niekerk, R Eloff, M Reynard, S James, ...
Pattern Recognition Letters 138, 95-105, 2020
12020
Advances in random forests with application to classification
A Pretorius
Stellenbosch: Stellenbosch University, 2016
12016
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
A Pretorius, S Cameron, E van Biljon, T Makkink, S Mawjee, J Plessis, ...
arXiv preprint arXiv:2010.07777, 2020
2020
On the expected behaviour of noise regularised deep neural networks as Gaussian processes
A Pretorius, H Kamper, S Kroon
Pattern Recognition Letters 138, 75-81, 2020
2020
Stabilising priors for robust Bayesian deep learning
F McGregor, A Pretorius, J Preez, S Kroon
arXiv preprint arXiv:1910.10386, 2019
2019
On Noise Regularised Neural Networks: Initialisation, Learning and Inference
A Pretorius
2019
A boy with haemophilia and high titres of inhibitors presenting with a spate of complicated and costly admissions: a case report and management plan 28 PO 868
M COETZEE, R NICHOL, E VAN DER WESTHUIZEN, A PRETORIUS, ...
Haemophilia 12, 2006
2006
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Articles 1–15