I am a Computer Science PhD student at Ben Gurion University, in the Vision, Inference, and Learning (VIL) group, under the supervision of Dr. Oren Freifeld. In addition I work at Trax as a researcher in the vision group.
My research area is Machine Learning. Specifically, unsupervised learning, clustering, Bayesian non-parametric models, deep learning and computer vision.
Distributed MCMC inference in Dirichlet process mixture models using Julia
Or Dinari*, Angel Yu*, Oren Freifeld, and J. W. Fisher III.
International Symposium on Cluster, Cloud and Grid Computing (CCGRID) Workshop on High Performance Machine Learning Workshop, 2019. [Paper] [Slides] [Preprint] [Code] [Python wrapper]
Best Paper Award
* Indicates that both these authors contibuted equally
Julia package for distributed parallel inference in Dirichlet Process Mixture Models.
Easy to use and configure.
Code for our paper Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia
My forked version of Daft, which has some extra features which I was missing in the original.
Used for creating graphical models.
Daft is copyrighted by (c) 2012 Daniel Foreman-Mackey, David W. Hogg, and contributors
Ben-Gurion University Of The Negev Beer-Sheva, Israel.
Email: dinari at post.bgu.ac.il