Daniel MacKinlay

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Wireless Communication

Machine Learning

Minimum Description Length Criterion

Surface Normals

Top Venues

Ann. Oper. Res.

IEEE Trans. Wirel. Commun.

Publications

Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems. CoRR (2024)
Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. CoRR (2022)
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
PDEBench: An Extensive Benchmark for Scientific Machine Learning. NeurIPS (2022)
Nadhir Ben Rached, Daniel MacKinlay, Zdravko I. Botev, Raúl Tempone, Mohamed-Slim Alouini
A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems. IEEE Trans. Wirel. Commun. 19 (7) (2020)
Daniel MacKinlay, Zdravko I. Botev
Mosaic Style Transfer Using Sparse Autocorrelograms. ISMIR (2019)
Nadhir Ben Rached, Daniel MacKinlay, Zdravko I. Botev, Raúl Tempone, Mohamed-Slim Alouini
A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems. CoRR (2019)
Zdravko I. Botev, Robert Salomone, Daniel MacKinlay
Fast and accurate computation of the distribution of sums of dependent log-normals. Ann. Oper. Res. 280 (1-2) (2019)
Zdravko I. Botev, Daniel MacKinlay, Yi-Lung Chen
Logarithmically efficient estimation of the tail of the multivariate normal distribution. WSC (2017)