Lawrence M. Murray

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 10

Top Topics

Robust Visual Tracking

Sequential Monte Carlo

Highly Informative

Particle Filter

Top Venues

SIAM/ASA J. Uncertain. Quantification

BMC Medical Informatics Decis. Mak.

Publications

Alix Marie d'Avigneau, Sumeetpal S. Singh, Lawrence M. Murray
Anytime parallel tempering. Stat. Comput. 31 (6) (2021)
Lawrence M. Murray
Lazy object copy as a platform for population-based probabilistic programming. CoRR (2020)
Jan Kudlicka, Lawrence M. Murray, Thomas B. Schön, Fredrik Lindsten
Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood. ICASSP (2020)
Renee Pekmezaris, Myia S. Williams, Briana Pascarelli, Kayla Finuf, Yael T. Harris, Alyson K. Myers, Tonya N. Taylor, Myriam Kline, Vidhi H. Patel, Lawrence M. Murray, Samy I. McFarlane, Karalyn Pappas, Martin L. Lesser, Amgad N. Makaryus, Sabrina Martinez, Andrjez Kozikowski, Jennifer Polo, Josephine Guzman, Roman Zeltser, Jose Marino, Maria Pena, Ralph J. DiClemente, Dilcia Granville
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) (2020)
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)
Daniel Lundén, David Broman, Fredrik Ronquist, Lawrence M. Murray
Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs. CoRR (2018)
Lawrence M. Murray, Thomas B. Schön
Automated learning with a probabilistic programming language: Birch. CoRR (2018)
Lawrence M. Murray, Daniel Lundén, Jan Kudlicka, David Broman, Thomas B. Schön
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs. AISTATS (2018)
Lawrence M. Murray, Thomas B. Schön
Automated learning with a probabilistic programming language: Birch. Annu. Rev. Control. 46 (2018)
Thomas B. Schön, Andreas Svensson, Lawrence M. Murray, Fredrik Lindsten
Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo. CoRR (2017)
Pierre Del Moral, Lawrence M. Murray
Sequential Monte Carlo with Highly Informative Observations. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
Pierre E. Jacob, Lawrence M. Murray, Sylvain Rubenthaler
Path storage in the particle filter. Stat. Comput. 25 (2) (2015)
Lawrence M. Murray, Anthony Lee, Pierre E. Jacob
Rethinking resampling in the particle filter on graphics processing units CoRR (2013)
Lawrence M. Murray, Emlyn M. Jones, John S. Parslow
On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler. SIAM/ASA J. Uncertain. Quantification 1 (1) (2013)
Nimalan Nandapalan, Richard P. Brent, Lawrence M. Murray, Alistair P. Rendell
High-Performance Pseudo-Random Number Generation on Graphics Processing Units. PPAM (1) (2011)
Nimalan Nandapalan, Richard P. Brent, Lawrence M. Murray, Alistair P. Rendell
High-Performance Pseudo-Random Number Generation on Graphics Processing Units CoRR (2011)