most citedSinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport

7 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2020

MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases

Junhao Wen, Erdem Varol, Ganesh Chand +2

There is a growing amount of clinical, anatomical and functional evidence for the heterogeneous presentation of neuropsychiatric and neurodegenerative diseases such as schizophreni…

stat.ML20207 cited

Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport

Gonzalo Mena, Amin Nejatbakhsh, Erdem Varol +1

We study Sinkhorn EM (sEM), a variant of the expectation maximization (EM) algorithm for mixtures based on entropic optimal transport. sEM differs from the classic EM algorithm in…

stat.AP20191 cited

Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution

Erdem Varol, Amin Nejatbakhsh, Conor McGrory

Motion segmentation for natural images commonly relies on dense optic flow to yield point trajectories which can be grouped into clusters through various means including spectral c…

eess.SP2019

Wasserstein total variation filtering

Erdem Varol, Amin Nejatbakhsh

In this paper, we expand upon the theory of trend filtering by introducing the use of the Wasserstein metric as a means to control the amount of spatiotemporal variation in filtere…

stat.ML2019

Robust approximate linear regression without correspondence

Amin Nejatbakhsh, Erdem Varol

We propose methods for estimating correspondence between two point sets under the presence of outliers in both the source and target sets. The proposed algorithms expand upon the t…