Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia. - Or Dinari; Angel Yu; Oren Freifeld; John W. Fisher III (CCGRID, 2019)

Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes. - Or Dinari; Oren Freifeld (UAI, 2020)

Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. - Or Dinari; Oren Freifeld (AISTATS, 2022)

Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution. - Vlad Winter; Or Dinari; Oren Freifeld (AISTATS, 2022)

Variational- and metric-based deep latent space for out-of-distribution detection. - Or Dinari; Oren Freifeld (UAI, 2022)

Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation. - Or Dinari; Oren Freifeld (UAI, 2022)

CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis. - Or Dinari; Raz Zamir; John W. Fisher III; Oren Freifeld (CoRR, 2022)

From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models. - Roy Uziel; Or Dinari; Oren Freifeld (NeurIPS, 2023)