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Sequential Bayesian Inference

Also known as Bayesian filtering or recursive Bayesian estimation, this task aims to perform inference on latent state-space models.

Papers

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Showing 1–10 of 20 papers

TitleStatusHype
Surprise Calibration for Better In-Context Learning—0
Connections between sequential Bayesian inference and evolutionary dynamics—0
Bayesian Online Natural Gradient (BONG)Code0
Continual Learning via Sequential Function-Space Variational InferenceCode1
Learning Differentiable Particle Filter on the FlyCode0
A transport approach to sequential simulation-based inference—0
A digital twin framework for civil engineering structuresCode0
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference—0
On Sequential Bayesian Inference for Continual LearningCode0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation—0
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