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Dan MacKinlay
Researcher, Commonwealth Scientific and Industrial Research Organisation, CSIRO
Joined
May 2021
Names
Dan MacKinlay
(Preferred)
,
Daniel MacKinlay
Emails
****@data61.csiro.au
(Confirmed)
,
****@danmackinlay.name
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
Researcher
Commonwealth Scientific and Industrial Research Organisation, CSIRO
(data61.csiro.au)
2020
–
Present
PhD student
University of New South Wales
(unsw.edu.au)
2017
–
2020
MS student
ETHZ - ETH Zurich
(ethz.ch)
2012
–
2015
Advisors, Relations & Conflicts
PhD Advisor
Zdravko Botev
2017
–
2020
Expertise
gaussian processes
Present
physical systems
Present
signal processing
Present
Publications
Variational Transdimensional Inference
Laurence Davies
,
Dan MacKinlay
,
Rafael Oliveira
,
Scott A Sisson
NeurIPS 2025 spotlight
Readers:
Everyone
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
Dan MacKinlay
,
Russell Tsuchida
,
Daniel Edward Pagendam
,
Petra Kuhnert
ICLR 2025 Poster
Readers:
Everyone
Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires
Joel Janek Dabrowski
,
Daniel Edward Pagendam
,
James Hilton
,
Conrad Sanderson
,
Dan MacKinlay
,
Carolyn Huston
,
Andrew Bolt
,
Petra Kuhnert
Spatial Statistics
Readers:
Everyone
PDEBENCH: AN EXTENSIVE BENCHMARK FOR SCI- ENTIFIC MACHINE LEARNING
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Dan MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Published: 03 Mar 2023, Last Modified: 13 Mar 2023
Physics4ML Poster
Readers:
Everyone
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Dan MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Published: 17 Sept 2022, Last Modified: 08 Feb 2026
NeurIPS 2022 Datasets and Benchmarks
Readers:
Everyone
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Dan MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
2022 (modified: 26 Apr 2023)
CoRR 2022
Readers:
Everyone
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
Joel Janek Dabrowski
,
Daniel Edward Pagendam
,
James Hilton
,
Conrad Sanderson
,
Daniel MacKinlay
,
Carolyn Huston
,
Andrew Bolt
,
Petra Kuhnert
2022 (modified: 26 Apr 2023)
CoRR 2022
Readers:
Everyone
A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems
Nadhir Ben Rached
,
Daniel MacKinlay
,
Zdravko I. Botev
,
Raúl Tempone
,
Mohamed-Slim Alouini
2020 (modified: 26 Apr 2023)
IEEE Trans. Wirel. Commun. 2020
Readers:
Everyone
Fast and accurate computation of the distribution of sums of dependent log-normals
Zdravko I. Botev
,
Robert Salomone
,
Daniel MacKinlay
2019 (modified: 24 Apr 2023)
Ann. Oper. Res. 2019
Readers:
Everyone
A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems
Nadhir Ben Rached
,
Daniel MacKinlay
,
Zdravko I. Botev
,
Raúl Tempone
,
Mohamed-Slim Alouini
2019 (modified: 26 Apr 2023)
CoRR 2019
Readers:
Everyone
View all 12 publications
Co-Authors
Andrew Bolt
Carolyn Huston
Conrad Sanderson
Daniel Edward Pagendam
Dirk Pflüger
Francesco Alesiani
James Hilton
Joel Janek Dabrowski
Laurence Davies
Makoto Takamoto
Mathias Niepert
Mohamed-Slim Alouini
Nadhir Ben Rached
Petra Kuhnert
Rafael Oliveira
Raphael Leiteritz
Raúl Tempone
Robert Salomone
Russell Tsuchida
Scott A Sisson
Timothy Praditia
Yi-Lung Chen
Zdravko I. Botev