Search Results for author: Daniel R. Sheldon

Found 4 papers, 0 papers with code

Inferring Latent Velocities from Weather Radar Data using Gaussian Processes

no code implementations NeurIPS 2018 Rico Angell, Daniel R. Sheldon

Archived data from the US network of weather radars hold detailed information about bird migration over the last 25 years, including very high-resolution partial measurements of velocity.

Gaussian Processes

Probabilistic Inference with Generating Functions for Poisson Latent Variable Models

no code implementations NeurIPS 2016 Kevin Winner, Daniel R. Sheldon

We present the first exact inference algorithms for a class of models with latent count variables by developing a novel representation of countably infinite factors as probability generating functions, and then performing variable elimination with generating functions.

Collective Graphical Models

no code implementations NeurIPS 2011 Daniel R. Sheldon, Thomas G. Dietterich

This paper introduces Collective Graphical Models---a framework for modeling and probabilistic inference that operates directly on the sufficient statistics of the individual model.

Cannot find the paper you are looking for? You can Submit a new open access paper.