About

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.

Publications

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

Code

Daft Fork

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

Teachings

Contact Me

Or Dinari
Ben-Gurion University Of The Negev Beer-Sheva, Israel.
Office: -105/37
Email: dinari at post.bgu.ac.il