5 citations · 11 across the 10 of their papers we have counts for
6 papers · 1 filter
Structure Learning of Sparse GGMs over Multiple Access Networks
Mostafa Tavassolipour, Armin Karamzade, Reza Mirzaeifard +2
A central machine is interested in estimating the underlying structure of a sparse Gaussian Graphical Model (GGM) from datasets distributed across multiple local machines. The loca…
Information Theoretic Bounds on Optimal Worst-case Error in Binary Mixture Identification
Khashayar Gatmiry, Seyed Abolfazl Motahari
Identification of latent binary sequences from a pool of noisy observations has a wide range of applications in both statistical learning and population genetics. Each observed seq…
Private Shotgun DNA Sequencing
Ali Gholami, Mohammad Ali Maddah-Ali, Seyed Abolfazl Motahari
Current techniques in sequencing a genome allow a service provider (e.g. a sequencing company) to have full access to the genome information, and thus the privacy of individuals re…
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints
Mostafa Tavassolipour, Seyed Abolfazl Motahari, Mohammad-Taghi Manzuri Shalmani
In this paper, learning of tree-structured Gaussian graphical models from distributed data is addressed. In our model, samples are stored in a set of distributed machines where eac…
On the Identifiability of Finite Mixtures of Finite Product Measures
Behrooz Tahmasebi, Seyed Abolfazl Motahari, Mohammad Ali Maddah-Ali
The problem of identifiability of finite mixtures of finite product measures is studied. A mixture model with mixture components and observed variables is considered, where…
Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks
Farzad Abdolhosseini, Behrooz Azarkhalili, Abbas Maazallahi +4
Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but…