4 papers · 1 filter
Theoretical Guarantees for SMC-Guided Diffusion Sampling
Stanislas Strasman, Gabriel Victorino Cardoso, Sylvain Le Corff +2
Post-hoc conditioning of pretrained diffusion models can be addressed using Sequential Monte Carlo (SMC) methods. By evolving an interacting particle system, SMC-guided diffusion s…
Theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference
Camille Touron, Gabriel V. Cardoso, Julyan Arbel +1
Compositional score-based approaches to simulation-based inference (SBI) approximate the posterior over a shared parameter given independent observations by aggregating individ…
Error analysis of a compositional score-based algorithm for simulation-based inference
Camille Touron, Gabriel V. Cardoso, Julyan Arbel +1
Simulation-based inference (SBI) has become a widely used framework in applied sciences for estimating the parameters of stochastic models that best explain experimental observatio…
Diffusion posterior sampling for simulation-based inference in tall data settings
Julia Linhart, Gabriel Victorino Cardoso, Alexandre Gramfort +2
Identifying the parameters of a non-linear model that best explain observed data is a core task across scientific fields. When such models rely on complex simulators, evaluating th…