Lawrence Murray

Publication Activity (10 Years)

Years Active: 2006-2019
Publications (10 Years): 3

Top Topics

Markov Chain Monte Carlo

Top Venues

BMC Medical Informatics Decis. Mak.

Int. J. Comput. Sci. Eng.

Publications

Anna Wigren, Riccardo Sven Risuleo, Lawrence Murray, Fredrik Lindsten
Parameter elimination in particle Gibbs sampling. NeurIPS (2019)
Renee Pekmezaris, Rebecca M. Schwartz, Tonya N. Taylor, Paola DiMarzio, Christian N. Nouryan, Lawrence Murray, Gary McKenzie, Deborah Ahern, Stacy Castillo, Kathleen Pecinka, Lorinda Bauer, Tito Orona, Amgad N. Makaryus
A qualitative analysis to optimize a telemonitoring intervention for heart failure patients from disparity communities. BMC Medical Informatics Decis. Mak. 16 (2016)
Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, Lawrence Murray, Chris C. Holmes
PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification. GPTP (2016)
Luke Domanski, Tomasz Bednarz, Timur Gureyev, Lawrence Murray, Bevan Emma Huang, Yakov Nesterets, Darren Thompson, Emlyn Jones, Colin Cavanagh, Dadong Wang, Pascal Vallotton, Changming Sun, Alex Khassapov, Andrew W. Stevenson, Sheridan Mayo, Matthew Morell, Andrew W. George, John A. Taylor
Applications of heterogeneous computing in computational and simulation science. Int. J. Comput. Sci. Eng. 8 (3) (2013)
Lawrence Murray
GPU Acceleration of Runge-Kutta Integrators. IEEE Trans. Parallel Distributed Syst. 23 (1) (2012)
Lawrence Murray
GPU acceleration of the particle filter: the Metropolis resampler CoRR (2012)
Lawrence Murray, Amos J. Storkey
Particle Smoothing in Continuous Time: A Fast Approach via Density Estimation. IEEE Trans. Signal Process. 59 (3) (2011)
Luke Domanski, Tomasz Bednarz, Tim E. Gureyev, Lawrence Murray, Bevan Emma Huang, John A. Taylor
Applications of Heterogeneous Computing in Computational and Simulation Science. UCC (2011)
Lawrence Murray, Amos J. Storkey
Continuous Time Particle Filtering for fMRI. NIPS (2007)
Amos J. Storkey, Enrico Simonotto, Heather Whalley, Stephen M. Lawrie, Lawrence Murray, David J. McGonigle
Learning Structural Equation Models for fMRI. NIPS (2006)