activity
20092023
most citedBoolean Compressed Sensing and Noisy Group Testing

221 citations · 1k across the 45 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.IT2021★ 1 cited

Support Recovery of Periodic Mixtures with Nested Periodic Dictionaries

Pouria Saidi, George K. Atia

Periodic signals composed of periodic mixtures admit sparse representations in nested periodic dictionaries (NPDs). Therefore, their underlying hidden periods can be estimated by r…

cs.LG2021

BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples

Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia

The design of additive imperceptible perturbations to the inputs of deep classifiers to maximize their misclassification rates is a central focus of adversarial machine learning. A…

cs.LG2021

Inferring Probabilistic Reward Machines from Non-Markovian Reward Processes for Reinforcement Learning

Taylor Dohmen, Noah Topper, George Atia +3

The success of reinforcement learning in typical settings is predicated on Markovian assumptions on the reward signal by which an agent learns optimal policies. In recent years, th…

cs.LG2021

Coarse to Fine Two-Stage Approach to Robust Tensor Completion of Visual Data

Yicong He, George K. Atia

Tensor completion is the problem of estimating the missing values of high-order data from partially observed entries. Data corruption due to prevailing outliers poses major challen…

eess.SY2021

Controller Synthesis for Omega-Regular and Steady-State Specifications

Alvaro Velasquez, Ismail Alkhouri, Andre Beckus +2

Given a Markov decision process (MDP) and a linear-time (-regular or LTL) specification, the controller synthesis problem aims to compute the optimal policy that satisfies the s…

cs.CV2021

Patch Tracking-based Streaming Tensor Ring Completion for Visual Data Recovery

Yicong He, George K. Atia

Tensor completion aims to recover the missing entries of a partially observed tensor by exploiting its low-rank structure, and has been applied to visual data recovery. In applicat…