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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

Showing 1120 of 20 papers

TitleStatusHype
Surprise Calibration for Better In-Context Learning0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation0
A digital twin framework for civil engineering structuresCode0
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filterCode0
Learning Differentiable Particle Filter on the FlyCode0
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural DecodingCode0
Bayesian Online Natural Gradient (BONG)Code0
Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functionsCode0
On Sequential Bayesian Inference for Continual LearningCode0
Functional Regularisation for Continual Learning with Gaussian ProcessesCode0
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