Adam M. Johansen

27 papers A* 3A 1Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities.
J. Mach. Learn. Res.
Rocco Caprio, Juan Kuntz, Samuel Power, Adam M. Johansen
2024 J jnl
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities.
CoRR
Rocco Caprio, Juan Kuntz, Samuel Power, Adam M. Johansen
2024 J jnl
Fast convergence of the Expectation Maximization algorithm under a logarithmic Sobolev inequality.
CoRR
Rocco Caprio, Adam M. Johansen
2024 A* conf
Momentum Particle Maximum Likelihood.
ICML
Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen
2024 A* conf
Particle Semi-Implicit Variational Inference.
NeurIPS
Jen Ning Lim, Adam M. Johansen
2024 J jnl
Particle Semi-Implicit Variational Inference.
CoRR
Jen Ning Lim, Adam M. Johansen
2024 J jnl
Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty.
CoRR
Chatchuea Kimchaiwong, Jeremie Houssineau, Adam M. Johansen
2024 J jnl
Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows.
CoRR
Francesca R. Crucinio, Adam M. Johansen
2023 J jnl
Cost free hyper-parameter selection/averaging for Bayesian inverse problems with vanilla and Rao-Blackwellized SMC samplers.
Stat. Comput.
Alessandro Viani, Adam M. Johansen, Alberto Sorrentino
2023 J jnl
Divide-and-Conquer Fusion.
J. Mach. Learn. Res.
Ryan S. Y. Chan, Murray Pollock, Adam M. Johansen, Gareth O. Roberts
2023 J jnl
Momentum Particle Maximum Likelihood.
CoRR
Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen
2023 A conf
Particle algorithms for maximum likelihood training of latent variable models.
AISTATS
Juan Kuntz, Jen Ning Lim, Adam M. Johansen
2022 J jnl
Product-form estimators: exploiting independence to scale up Monte Carlo.
Stat. Comput.
Juan Kuntz, Francesca R. Crucinio, Adam M. Johansen
2022 J jnl
Scalable particle-based alternatives to EM.
CoRR
Juan Kuntz, Adam M. Johansen
2022 J jnl
Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows.
CoRR
Francesca R. Crucinio, Valentin De Bortoli, Arnaud Doucet, Adam M. Johansen
2022 J jnl
The node-wise Pseudo-marginal method: model selection with spatial dependence on latent graphs.
Stat. Comput.
Denishrouf Thesingarajah, Adam M. Johansen
2021 J jnl
A spatio-temporal model to reveal oscillator phenotypes in molecular clocks: Parameter estimation elucidates circadian gene transcription dynamics in single-cells.
PLoS Comput. Biol.
Måns Unosson, Marco Brancaccio, Michael Hastings, Adam M. Johansen, Bärbel Finkenstädt
2021 J jnl
Global Consensus Monte Carlo.
J. Comput. Graph. Stat.
Lewis J. Rendell, Adam M. Johansen, Anthony Lee, Nick Whiteley
2020 A* conf
Generalised Bayesian Filtering via Sequential Monte Carlo.
NeurIPS
Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen
2020 J jnl
Generalized Bayesian Filtering via Sequential Monte Carlo.
CoRR
Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen
2017 J jnl
Bayesian model comparison with un-normalised likelihoods.
Stat. Comput.
Richard G. Everitt, Adam M. Johansen, Ellen Rowing, Melina Evdemon-Hogan
2015 J jnl
Convergence of the k-Means Minimization Problem using Γ-Convergence.
SIAM J. Appl. Math.
Matthew Thorpe, Florian Theil, Adam M. Johansen, Neil Cade
2012 — conf
Bayesian model comparison via path-sampling sequential Monte Carlo.
SSP
Yan Zhou, Adam M. Johansen, John A. D. Aston
2010 J jnl
On solving integral equations using Markov chain Monte Carlo methods.
Appl. Math. Comput.
Arnaud Doucet, Adam M. Johansen, Vladislav Z. B. Tadic
2008 — ch.
Markov Chains.
Wiley Encyclopedia of Computer Science and Engineering
Adam M. Johansen
2008 J jnl
Particle methods for maximum likelihood estimation in latent variable models.
Stat. Comput.
Adam M. Johansen, Arnaud Doucet, Manuel Davy
2006 — conf
Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo.
ICASSP (3)
Adam M. Johansen, Arnaud Doucet, Manuel Davy