7 citations · 10 across the 4 of their papers we have counts for
5 papers
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes
Amin Nejatbakhsh, Isabel Garon, Alex H Williams
The signaling capacity of a neural population depends on the scale and orientation of its covariance across trials. Estimating this "noise" covariance is challenging and is thought…
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…
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…
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…
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…