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Yohan Petetin

2 accepted papers

2026

Entropic Mirror Monte Carlo

ICML 2026poster

Importance sampling is a Monte Carlo method which designs estimators of expectations under a target distribution using weighted samples from a proposal distribution. When the target distribution is complex, such as multimodal distributions in high-dimensional spaces, the efficiency of importance sam…

Cited by 0SourceScholar
2016

Particle filters with independent resampling

ICASSP 2016accepted

In many signal processing applications we aim to track a state of interest given available observations. Among existing techniques, sequential Monte Carlo filters are importance sampling-based algorithms meant to propagate in time a set of weighted particles which represent the a posteriori density…

Cited by 0SourceScholar