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Lawrence Murray
Person information
- affiliation: Uppsala University, Sweden
- affiliation (former): University of Oxford, UK
- affiliation (former): CSIRO, Perth, WA, Australia
- affiliation (PhD 2008): University of Edinburgh, UK
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2020 – today
- 2021
- [j10]Alix Marie d'Avigneau
, Sumeetpal S. Singh
Anytime parallel tempering. Stat. Comput. 31(6): 74 (2021) - 2020
- [j9]Renee Pekmezaris, Myia S. Williams, Briana Pascarelli, Kayla Finuf
Adapting a home telemonitoring intervention for underserved Hispanic/Latino patients with type 2 diabetes: an acceptability and feasibility study. BMC Medical Informatics Decis. Mak. 20(1): 324 (2020) - [c9]Jan Kudlicka, Lawrence M. Murray, Thomas B. Schön, Fredrik Lindsten:
Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood. ICASSP 2020: 5860-5864 - [i7]Lawrence M. Murray:
Lazy object copy as a platform for population-based probabilistic programming. CoRR abs/2001.05293 (2020)
2010 – 2019
- 2019
- [c8]Anna Wigren, Riccardo Sven Risuleo, Lawrence Murray, Fredrik Lindsten:
Parameter elimination in particle Gibbs sampling. NeurIPS 2019: 8916-8927 - [c7]Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist, Thomas B. Schön:
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling. UAI 2019: 679-689 - 2018
- [j8]Lawrence M. Murray
Automated learning with a probabilistic programming language: Birch. Annu. Rev. Control. 46: 29-43 (2018) - [c6]Lawrence M. Murray, Daniel Lundén, Jan Kudlicka, David Broman, Thomas B. Schön:
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs. AISTATS 2018: 1037-1046 - [i6]Lawrence M. Murray, Thomas B. Schön:
Automated learning with a probabilistic programming language: Birch. CoRR abs/1810.01539 (2018) - [i5]Daniel Lundén, David Broman, Fredrik Ronquist, Lawrence M. Murray:
Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs. CoRR abs/1812.07439 (2018) - 2017
- [i4]Thomas B. Schön, Andreas Svensson, Lawrence M. Murray, Fredrik Lindsten:
Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo. CoRR abs/1703.02419 (2017) - 2016
- [j7]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: 75 (2016) - [c5]Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, Lawrence Murray, Chris C. Holmes:
PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification. GPTP 2016: 139-148 - 2015
- [j6]Pierre Del Moral, Lawrence M. Murray:
Sequential Monte Carlo with Highly Informative Observations. SIAM/ASA J. Uncertain. Quantification 3(1): 969-997 (2015) - [j5]Pierre E. Jacob
Path storage in the particle filter. Stat. Comput. 25(2): 487-496 (2015) - 2013
- [j4]Luke Domanski, Tomasz Bednarz, Timur Gureyev
Applications of heterogeneous computing in computational and simulation science. Int. J. Comput. Sci. Eng. 8(3): 240-252 (2013) - [j3]Lawrence M. Murray
On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler. SIAM/ASA J. Uncertain. Quantification 1(1): 494-521 (2013) - [i3]Lawrence M. Murray, Anthony Lee, Pierre E. Jacob:
Rethinking resampling in the particle filter on graphics processing units. CoRR abs/1301.4019 (2013) - 2012
- [j2]Lawrence Murray
GPU Acceleration of Runge-Kutta Integrators. IEEE Trans. Parallel Distributed Syst. 23(1): 94-101 (2012) - [i2]Lawrence Murray:
GPU acceleration of the particle filter: the Metropolis resampler. CoRR abs/1202.6163 (2012) - 2011
- [j1]Lawrence Murray
Particle Smoothing in Continuous Time: A Fast Approach via Density Estimation. IEEE Trans. Signal Process. 59(3): 1017-1026 (2011) - [c4]Nimalan Nandapalan, Richard P. Brent
High-Performance Pseudo-Random Number Generation on Graphics Processing Units. PPAM (1) 2011: 609-618 - [c3]Luke Domanski, Tomasz Bednarz
Applications of Heterogeneous Computing in Computational and Simulation Science. UCC 2011: 382-389 - [i1]Nimalan Nandapalan, Richard P. Brent, Lawrence M. Murray, Alistair P. Rendell:
High-Performance Pseudo-Random Number Generation on Graphics Processing Units. CoRR abs/1108.0486 (2011)
2000 – 2009
- 2007
- [c2]Lawrence Murray, Amos J. Storkey:
Continuous Time Particle Filtering for fMRI. NIPS 2007: 1049-1056 - 2006
- [c1]Amos J. Storkey, Enrico Simonotto, Heather Whalley, Stephen M. Lawrie, Lawrence Murray, David J. McGonigle:
Learning Structural Equation Models for fMRI. NIPS 2006: 1329-1336
Coauthor Index
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