Simon O'Callaghan
Simon O'Callaghan
Principal Researcher at Gradient Institute
Verified email at gradientinstitute.org
Title
Cited by
Cited by
Year
Gaussian process occupancy maps
ST O’Callaghan, FT Ramos
The International Journal of Robotics Research 31 (1), 42-62, 2012
1552012
Contextual occupancy maps using Gaussian processes
S O'Callaghan, FT Ramos, H Durrant-Whyte
2009 IEEE International Conference on Robotics and Automation, 1054-1060, 2009
762009
Census of seafloor sediments in the world’s ocean
A Dutkiewicz, RD Müller, S O’Callaghan, H Jónasson
Geology 43 (9), 795-798, 2015
712015
Learning navigational maps by observing human motion patterns
ST O'Callaghan, SPN Singh, A Alempijevic, FT Ramos
2011 IEEE International Conference on Robotics and Automation, 4333-4340, 2011
522011
The impact of computerisation and automation on future employment
H Durrant-Whyte, L McCalman, S O’Callaghan, A Reid, D Steinberg
Australia’s future workforce, 56-64, 2015
422015
Predicting spatio-temporal propagation of seasonal influenza using variational Gaussian process regression
R Senanayake, S O'Callaghan, F Ramos
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
352016
Continuous occupancy mapping with integral kernels
S O'Callaghan, F Ramos
Proceedings of the AAAI conference on artificial intelligence 25 (1), 2011
262011
Multi-modal estimation with kernel embeddings for learning motion models
L McCalman, S O'Callaghan, F Ramos
2013 IEEE International Conference on Robotics and Automation, 2845-2852, 2013
242013
Contextual occupancy maps incorporating sensor and location uncertainty
ST O'Callaghan, FT Ramos, H Durrant-Whyte
2010 IEEE International Conference on Robotics and Automation, 3478-3485, 2010
21*2010
Spatio-temporal hilbert maps for continuous occupancy representation in dynamic environments
R Senanayake, L Ott, S O'Callaghan, F Ramos
Proceedings of the 30th International Conference on Neural Information …, 2016
172016
Gaussian process occupancy maps for dynamic environments
ST O’Callaghan, FT Ramos
Experimental Robotics, 791-805, 2016
172016
Bayesian joint inversions for the exploration of earth resources
AS Reid, S O’Callaghan, E Bonilla, L McCalman, T Rawling, F Ramos
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
162013
Predicting sediment thickness on vanished ocean crust since 200 Ma
A Dutkiewicz, RD Müller, X Wang, S O'callaghan, J Cannon, NM Wright
Geochemistry, Geophysics, Geosystems 18 (12), 4586-4603, 2017
132017
Distributed Bayesian Geophysical Inversions
L McCalman, ST O’Callaghan, A Reid, D Shen, S Carter, L Krieger, ...
132014
Learning highly dynamic environments with stochastic variational inference
R Senanayake, S O'Callaghan, F Ramos
2017 IEEE International Conference on Robotics and Automation (ICRA), 2532-2539, 2017
122017
Controls on the distribution of deep‐sea sediments
A Dutkiewicz, S O'Callaghan, RD Müller
Geochemistry, Geophysics, Geosystems 17 (8), 3075-3098, 2016
122016
A Bayesian inference tool for geophysical joint inversions
G Beardsmore, H Durrant-Whyte, L McCalman, S O’Callaghan, A Reid
ASEG Extended Abstracts 2016 (1), 1-10, 2016
72016
Australia’s future workforce
H Durrant-Whyte, L McCalman, S O’Callaghan, A Reid, D Steinberg
The Committee for Economic Development of Australia, 60, 2015
72015
Fast fair regression via efficient approximations of mutual information
D Steinberg, A Reid, S O'Callaghan, F Lattimore, L McCalman, T Caetano
arXiv preprint arXiv:2002.06200, 2020
52020
Fairness measures for regression via probabilistic classification
D Steinberg, A Reid, S O'Callaghan
arXiv preprint arXiv:2001.06089, 2020
12020
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