A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...

Implement Bayesian inference to solve real-world statistics and data science problems. Articulate the logic of Bayesian inference and compare and contrast it with frequentist inference. Utilize ...

A new technical paper titled “Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks” was published by researchers at Université Grenoble Alpes, CEA, ...