Daniel MacKinlay

According to our database, Daniel MacKinlay authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems.

Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert

CoRR, 2024

2022

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

CoRR, 2022

PDEBench: An Extensive Benchmark for Scientific Machine Learning.

Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

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

IEEE Trans. Wirel. Commun., 2020

2019

Fast and accurate computation of the distribution of sums of dependent log-normals.

Zdravko I. Botev, Robert Salomone, Daniel MacKinlay

Ann. Oper. Res., 2019

Mosaic Style Transfer Using Sparse Autocorrelograms.

Daniel MacKinlay, Zdravko I. Botev

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2017

Logarithmically efficient estimation of the tail of the multivariate normal distribution.

Zdravko I. Botev, Daniel MacKinlay, Yi-Lung Chen

Proceedings of the 2017 Winter Simulation Conference, 2017