no code implementations • 15 May 2023 • Yicong He, George K. Atia
Tensor ring (TR) decomposition has recently received increased attention due to its superior expressive performance for high-order tensors.
no code implementations • 30 Oct 2022 • Akram S. Awad, George K. Atia
Domain Adaptation (DA) has recently received significant attention due to its potential to adapt a learning model across source and target domains with mismatched distributions.
no code implementations • 15 Mar 2022 • Ismail R. Alkhouri, George K. Atia, Alvaro Velasquez
In particular, we reduce the combinatorial optimization problem to a neural network and employ a dataless training scheme to refine the parameters of the network such that those parameters yield the structure of interest.
1 code implementation • 5 Aug 2021 • Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia
To this end, we present a problem that encodes objectives on the distance between the desired and output distributions of the trained model and the similarity between such inputs and the synthesized examples.
no code implementations • 19 Jun 2021 • Yicong He, George K. Atia
To efficiently mitigate the effect of a large number of outliers on tensor recovery, we develop a new M-estimator-based robust tensor ring recovery method which can adaptively identify the outliers and alleviate their negative effect in the optimization.
no code implementations • 30 May 2021 • Yicong He, George K. Atia
In applications where the data arrives sequentially such as streaming video completion, the missing entries of the tensor need to be dynamically recovered in a streaming fashion.
no code implementations • 3 Dec 2020 • George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez
In this paper, we explore this steady-state planning problem that consists of deriving a decision-making policy for an agent such that constraints on its steady-state behavior are satisfied.
1 code implementation • 22 Oct 2020 • Yicong He, George K. Atia
The goal of tensor completion is to recover a tensor from a subset of its entries, often by exploiting its low-rank property.
no code implementations • 24 Sep 2020 • Andre Beckus, George K. Atia
We present a new standardized benchmark based on the stochastic block model which models the addition and deletion of nodes, as well as the birth and death of communities.
no code implementations • 6 Jul 2018 • Andre Beckus, Alexandru Tamasan, George K. Atia
The wall scatters incident light such that a lens is no longer useful to form an image.