This article presents GenSQL, a probabilistic programming system for querying probabilistic
generative models of database tables. By augmenting SQL with only a few key primitives for …

This paper describes the hierarchical infinite relational model (HIRM), a new probabilistic
generative model for noisy, sparse, and heterogeneous relational data. Given a set of …

Critical infrastructure users need to infer the assurance of position, velocity, and time (PVT)
estimates. Such an inference performed by positioning, navigation, and timing (PNT) …

How can we automate and scale up the processes of learning accurate probabilistic models
of complex data and obtaining principled solutions to probabilistic inference and analysis …

Loom is a non-parametric Bayesian inference engine that finds meaning in large datasets.
We've integrated the inference abilities of Loom into the BayesDB probabilistic programming …