Search Results for author:
Found 3 papers, 2 papers with code
Accelerating Metropolis-Hastings with Lightweight Inference Compilation
In order to construct accurate proposers for Metropolis-Hastings Markov Chain Monte Carlo, we integrate ideas from probabilistic graphical models and neural networks in an open-source framework we call Lightweight Inference Compilation (LIC).
PPL Bench: Evaluation Framework For Probabilistic Programming Languages
The benchmark includes data generation and evaluation code for a number of models as well as implementations in some common PPLs.
Global seismic monitoring as probabilistic inference
The International Monitoring System (IMS) is a global network of sensors whose purpose is to identify potential violations of the Comprehensive Nuclear-Test-Ban Treaty (CTBT), primarily through detection and localization of seismic events.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
