Adam M. Johansen - researchr alias

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Viewing Publication 1 - 14 from 14

2023

Divide-and-Conquer FusionRyan S. Y. Chan, Murray Pollock, Adam M. Johansen, Gareth O. Roberts. jmlr, 24, 2023. [doi]

Particle algorithms for maximum likelihood training of latent variable modelsJuan Kuntz, Jen Ning Lim, Adam M. Johansen. aistats 2023: 5134-5180 [doi]

Cost free hyper-parameter selection/averaging for Bayesian inverse problems with vanilla and Rao-Blackwellized SMC samplersAlessandro Viani, Adam M. Johansen, Alberto Sorrentino. sac, 33(6):126, December 2023. [doi]

2022

Product-form estimators: exploiting independence to scale up Monte CarloJuan Kuntz, Francesca R. Crucinio, Adam M. Johansen. sac, 32(1):12, 2022. [doi]

The node-wise Pseudo-marginal method: model selection with spatial dependence on latent graphsDenishrouf Thesingarajah, Adam M. Johansen. sac, 32(3):43, 2022. [doi]

2021

Global Consensus Monte CarloLewis J. Rendell, Adam M. Johansen, Anthony Lee, Nick Whiteley. jcgs, 30(2):249-259, 2021. [doi]

A spatio-temporal model to reveal oscillator phenotypes in molecular clocks: Parameter estimation elucidates circadian gene transcription dynamics in single-cellsMåns Unosson, Marco Brancaccio, Michael Hastings, Adam M. Johansen, Bärbel Finkenstädt. ploscb, 17(12), 2021. [doi]

2020

Generalised Bayesian Filtering via Sequential Monte CarloAyman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen. nips 2020: [doi]

2017

Bayesian model comparison with un-normalised likelihoodsRichard G. Everitt, Adam M. Johansen, Ellen Rowing, Melina Evdemon-Hogan. sac, 27(2):403-422, 2017. [doi]

2015

Convergence of the k-Means Minimization Problem using Γ-ConvergenceMatthew Thorpe, Florian Theil, Adam M. Johansen, Neil Cade. siamam, 75(6):2444-2474, 2015. [doi]

2012

Bayesian model comparison via path-sampling sequential Monte CarloYan Zhou, Adam M. Johansen, John A. D. Aston. gacm 2012: 245-248 [doi]

2010

On solving integral equations using Markov chain Monte Carlo methodsArnaud Doucet, Adam M. Johansen, Vladislav B. Tadic. amc, 216(10):2869-2880, 2010. [doi]

2008

Particle methods for maximum likelihood estimation in latent variable modelsAdam M. Johansen, Arnaud Doucet, Manuel Davy. sac, 18(1):47-57, 2008. [doi]

2006

Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte CarloAdam M. Johansen, Arnaud Doucet, Manuel Davy. icassp 2006: 640-643 [doi]

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