Lachlan McCalman
Lachlan McCalman
Chief Practitioner, Gradient Institute
Verified email at mccalman.info
Title
Cited by
Cited by
Year
Decentralised cooperative localisation for heterogeneous teams of mobile robots
T Bailey, M Bryson, H Mu, J Vial, L McCalman, H Durrant-Whyte
2011 IEEE International Conference on Robotics and Automation, 2859-2865, 2011
882011
Real Time Relativity: Exploratory learning of special relativity
CM Savage, A Searle, L McCalman
American Journal of Physics 75 (9), 791-798, 2007
642007
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
55*2015
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
252013
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
Distributed Bayesian Geophysical Inversions
L McCalman, ST O’Callaghan, A Reid, D Shen, S Carter, L Krieger, ...
Proceedings of the 39th Workshop of Geothermal Reservoir Engineering, SGP-TR-202, 2014
132014
Partitioning mortality into growth-dependent and growth-independent hazards across 203 tropical tree species
JS Camac, R Condit, RG FitzJohn, L McCalman, D Steinberg, M Westoby, ...
Proceedings of the National Academy of Sciences 115 (49), 12459-12464, 2018
92018
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
72020
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
Real time relativity
CM Savage, AC Searle, L McCalman
arXiv preprint physics/0607223, 2006
52006
Function Embeddings for Multi-modal Bayesian Inference
LR McCalman
University of Sydney, 2013
32013
Uncover-ML: a machine learning pipeline for geoscience data analysis
JR Wilford, F Zhang, D Steinberg, L McCalman, B Moushall, R Hassan, ...
Geoscience Australia, 2020
22020
Bayesian data fusion for geothermal exploration
FT Ramos, E Bonilla, L McCalman, S O'Callaghan, A Reid, WTB Uther, ...
The Australian Geothermal Energy Association (AGEA), 2012
22012
Bayesian filtering with wavefunctions
L McCalman, H Durrant-Whyte
2010 13th International Conference on Information Fusion, 1-7, 2010
22010
Probabilistic Re-aggregation Algorithm [First Draft]
A Reid, X Wang, S O'Callaghan, D Steinberg, L McCalman
arXiv preprint arXiv:1807.04883, 2018
2018
Unifying intra-and inter-specific variation in tropical tree mortality
JS Camac, R Condit, RG FitzJohn, L McCalman, D Steinberg, M Westoby, ...
bioRxiv, 228361, 2017
2017
Using machine learning to explore the dynamics of complex laser systems
JP Toomey, A Reid, L McCalman, T Malica, DM Kane
Nonlinear Photonics, JT4A. 18, 2016
2016
Quantum degenerate gases in optical lattices
M Inguscio
Quantum-Atom Optics Downunder, QThD4, 2007
2007
Astrophysics and BECs
CM Savage, A White, L McCalman, S Szigeti, S Wuester
Quantum-Atom Optics Downunder, QTuB3, 2007
2007
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Articles 1–19