Lachlan McCalman

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Simon O'CallaghanPrincipal Researcher at Gradient InstituteDirección de correo verificada de gradientinstitute.org
Daniel SteinbergCSIRO (Data61)Dirección de correo verificada de csiro.au
Alistair ReidMachine Learning Researcher, NICTADirección de correo verificada de nicta.com.au
Hugh Durrant-WhyteUniversity of SydneyDirección de correo verificada de sydney.edu.au
Fabio RamosUniversity of Sydney and NVIDIADirección de correo verificada de sydney.edu.au
Craig M SavageProfessor of Physics, Australian National UniversityDirección de correo verificada de anu.edu.au
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61Dirección de correo verificada de data61.csiro.au
John VialUniversity of SydneyDirección de correo verificada de acfr.usyd.edu.au
Tim BaileyUniversity of SydneyDirección de correo verificada de acfr.usyd.edu.au
Mitch BrysonAustralian Centre for Field RoboticsDirección de correo verificada de acfr.usyd.edu.au
Daniel S. FalsterEvolution and Ecology Research Centre, University of New South WalesDirección de correo verificada de unsw.edu.au
James S CamacThe University of MelbourneDirección de correo verificada de unimelb.edu.au
Graeme BeardsmoreUniversity of MelbourneDirección de correo verificada de unimelb.edu.au
Darren ShenUniversity of SydneyDirección de correo verificada de sydney.edu.au
Marc-Etienne BrunetUniversity of Toronto, ServiceNow ResearchDirección de correo verificada de cs.toronto.edu
Grace AbuhamadNTIADirección de correo verificada de csail.mit.edu
Robert C. WilliamsonUniversity of TübingenDirección de correo verificada de uni-tuebingen.de
Joshua ToomeyMacquarie UniversityDirección de correo verificada de mq.edu.au

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Lachlan McCalman

Fellow, Gradient Institute

Dirección de correo verificada de mccalman.info

Machine learning Relativistic Visualisation


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	116	2011
Real Time Relativity: Exploratory learning of special relativity CM Savage, A Searle, L McCalman American Journal of Physics 75 (9), 791-798, 2007	78	2007
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	57	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	38	2013
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	33	2018
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	26	2020
Distributed Bayesian geophysical inversions L McCalman, ST O’Callaghan, A Reid, D Shen, S Carter, L Krieger, ... Thirty-Ninth Stanford geothermal workshop, 1-11, 2014	18	2014
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	17	2013
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	11	2016
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	9	2015
Real time relativity CM Savage, AC Searle, L McCalman arXiv preprint physics/0607223, 2006	7	2006
Assessing AI fairness in finance L McCalman, D Steinberg, G Abuhamad, ME Brunet, RC Williamson, ... Computer 55 (1), 94-97, 2022	5	2022
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	5	2020
Function embeddings for multi-modal Bayesian inference LR McCalman University of Sydney., 2013	3	2013
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	2	2012
Bayesian filtering with wavefunctions L McCalman, H Durrant-Whyte 2010 13th International Conference on Information Fusion, 1-7, 2010	2	2010
Using machine learning to explore the dynamics of complex laser systems JP Toomey, A Reid, L McCalman, T Malica, DM Kane Australian Conference on Optical Fibre Technology, JT4A. 18, 2016	1	2016
Machine-learning-converting geoscience data into predictive geochemical and 3D surface models. J Wilford, K Czarnota, S Basak, L Lachlan Mccalman, D Steinberg, ... AGU Fall Meeting Abstracts 2018, T31E-0370, 2018		2018
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

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