Arnu Pretorius
Arnu Pretorius
Senior Research Scientist, InstaDeep Ltd
Verified email at
Cited by
Cited by
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
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
On optimal transformer depth for low-resource language translation
EV Biljon, A Pretorius, J Kreutzer
The International Conference on Learning Representations (ICLR 2020), 2020
Learning dynamics of linear denoising autoencoders
A Pretorius, S Kroon, H Kamper
International Conference on Machine Learning, 2018
Towards a standardised performance evaluation protocol for cooperative marl
R Gorsane, O Mahjoub, RJ de Kock, R Dubb, S Singh, A Pretorius
Advances in Neural Information Processing Systems 35, 5510-5521, 2022
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
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
Causal multi-agent reinforcement learning: Review and open problems
SJ Grimbly, J Shock, A Pretorius
arXiv preprint arXiv:2111.06721, 2021
Mava: A research framework for distributed multi-agent reinforcement learning
A Pretorius, K Tessera, AP Smit, C Formanek, SJ Grimbly, K Eloff, ...
arXiv e-prints, arXiv: 2107.01460, 2021
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 du Plessis, ...
Advances in neural information processing systems 33, 9983-9994, 2020
Combinatorial optimization with policy adaptation using latent space search
F Chalumeau, S Surana, C Bonnet, N Grinsztajn, A Pretorius, A Laterre, ...
Advances in Neural Information Processing Systems 36, 2024
Jumanji: a diverse suite of scalable reinforcement learning environments in jax
C Bonnet, D Luo, D Byrne, S Surana, S Abramowitz, P Duckworth, ...
arXiv preprint arXiv:2306.09884, 2023
Off-the-grid marl: a framework for dataset generation with baselines for cooperative offline multi-agent reinforcement learning
C Formanek, A Jeewa, J Shock, A Pretorius
arXiv preprint arXiv:2302.00521 9, 2023
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
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
Universally expressive communication in multi-agent reinforcement learning
M Morris, TD Barrett, A Pretorius
Advances in Neural Information Processing Systems 35, 33508-33522, 2022
Robust and scalable sde learning: A functional perspective
S Cameron, T Cameron, A Pretorius, S Roberts
arXiv preprint arXiv:2110.05167, 2021
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
Stabilising priors for robust bayesian deep learning
F McGregor, A Pretorius, J Preez, S Kroon
arXiv preprint arXiv:1910.10386, 2019
Advances in random forests with application to classification
A Pretorius
Stellenbosch: Stellenbosch University, 2016
The system can't perform the operation now. Try again later.
Articles 1–20