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Journal Articles
- 2020
[j4]Arnu Pretorius, Herman Kamper
, Steve Kroon:
On the expected behaviour of noise regularised deep neural networks as Gaussian processes. Pattern Recognit. Lett. 138: 75-81 (2020)- [j3]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. Pattern Recognit. Lett. 138: 95-105 (2020) - 2019
- [j2]Scott A. Cameron, Hans C. Eggers, Steve Kroon:
Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation. Entropy 21(11): 1109 (2019) - 2013
- [j1]Golnaz Badkobeh, Gabriele Fici, Steve Kroon, Zsuzsanna Lipták:
Binary jumbled string matching for highly run-length compressible texts. Inf. Process. Lett. 113(17): 604-608 (2013)
Conference and Workshop Papers
- 2023
- [c13]Daniel Barrish, Steve Kroon, Brink van der Merwe:
Making Superhuman AI More Human in Chess. ACG 2023: 3-14 - [c12]Matthew Muller, Steve Kroon, Stephan K. Chalup:
Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning. ICONIP (9) 2023: 190-204 - 2021
- [c11]Dirko Coetsee, Steve Kroon, McElory Hoffmann, Luc De Raedt:
SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints. IDA 2021: 402-413 - 2020
- [c10]Jordan F. Masakuna, Simukai W. Utete, Steve Kroon:
Performance-Agnostic Fusion of Probabilistic Classifier Outputs. FUSION 2020: 1-8 - 2019
- [c9]Jordan F. Masakuna, Simukai W. Utete, Steve Kroon:
A Coordinated Search Strategy for Solitary Robots. IRC 2019: 433-434 - 2018
- [c8]Arnu Pretorius, Steve Kroon, Herman Kamper:
Learning Dynamics of Linear Denoising Autoencoders. ICML 2018: 4138-4147 - [c7]Arnu Pretorius, Elan Van Biljon, Steve Kroon, Herman Kamper:
Critical initialisation for deep signal propagation in noisy rectifier neural networks. NeurIPS 2018: 5722-5731 - 2016
- [c6]Pierre Bernard le Roux, Steve Kroon, Willem Bester:
DSaaS - A Cloud Service for Persistent Data Structures. CLOSER (1) 2016: 37-48 - 2015
- [c5]Dirk Brand, Steve Kroon, Brink van der Merwe, Loek G. Cleophas:
N-Gram Representations For Comment Filtering. SAICSIT 2015: 6:1-6:10 - 2014
- [c4]Dirk Brand, Steve Kroon:
Sample Evaluation for Action Selection in Monte Carlo Tree Search. SAICSIT 2014: 314 - 2013
- [c3]Francois van Niekerk, Steve Kroon:
Decision Trees for Computer Go Features. CGW@IJCAI 2013: 44-56 - 2012
- [c2]Francois van Niekerk, Gert-Jan van Rooyen, Steve Kroon, Cornelia P. Inggs:
Monte-Carlo tree search parallelisation for computer go. SAICSIT 2012: 129-138 - [c1]Francois de Villiers, McElory Hoffmann, Steve Kroon:
Unsupervised Construction of Topic-Based Twitter Lists. SocialCom/PASSAT 2012: 283-292
Informal and Other Publications
- 2022
- [i12]Jacobie Mouton, Steve Kroon:
Graphical Residual Flows. CoRR abs/2204.11846 (2022) - [i11]Jacobie Mouton, Steve Kroon:
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks. CoRR abs/2204.11847 (2022) - 2021
- [i10]Jordan F. Masakuna, Steve Kroon:
Distributed Identification of Central Nodes with Less Communication. CoRR abs/2106.14011 (2021) - 2020
- [i9]Jordan F. Masakuna, Simukai W. Utete, Steve Kroon:
Performance-Agnostic Fusion of Probabilistic Classifier Outputs. CoRR abs/2009.00565 (2020) - 2019
- [i8]Jordan F. Masakuna, Simukai W. Utete, Steve Kroon:
A Coordinated Search Strategy for Multiple Solitary Robots: An Extension. CoRR abs/1905.07434 (2019) - [i7]Arnu Pretorius, Herman Kamper, Steve Kroon:
On the expected behaviour of noise regularised deep neural networks as Gaussian processes. CoRR abs/1910.05563 (2019) - [i6]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. CoRR abs/1910.05725 (2019) - [i5]Felix McGregor, Arnu Pretorius, Johan A. du Preez, Steve Kroon:
Stabilising priors for robust Bayesian deep learning. CoRR abs/1910.10386 (2019) - [i4]Scott A. Cameron, Hans C. Eggers, Steve Kroon:
Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation. CoRR abs/1911.07337 (2019) - 2018
- [i3]Arnu Pretorius, Steve Kroon, Herman Kamper:
Learning Dynamics of Linear Denoising Autoencoders. CoRR abs/1806.05413 (2018) - [i2]Arnu Pretorius, Elan Van Biljon, Steve Kroon, Herman Kamper:
Critical initialisation for deep signal propagation in noisy rectifier neural networks. CoRR abs/1811.00293 (2018) - 2012
- [i1]Golnaz Badkobeh, Gabriele Fici, Steve Kroon, Zsuzsanna Lipták:
Binary Jumbled String Matching: Faster Indexing in Less Space. CoRR abs/1206.2523 (2012)
Coauthor Index
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