7 citations · 11 across the 10 of their papers we have counts for
15 papers
Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data
Hyung-Jin Yoon, Petros Voulgaris
Due to recent climate changes, we have seen more frequent and severe wildfires in the United States. Predicting wildfires is critical for natural disaster prevention and mitigation…
Sampling Complexity of Path Integral Methods for Trajectory Optimization
Hyung-Jin Yoon, Chuyuan Tao, Hunmin Kim +2
The use of random sampling in decision-making and control has become popular with the ease of access to graphic processing units that can generate and calculate multiple random tra…
A Communication Efficient Quasi-Newton Method for Large-scale Distributed Multi-agent Optimization
Yichuan Li, Petros G. Voulgaris, Nikolaos M. Freris
We propose a communication efficient quasi-Newton method for large-scale multi-agent convex composite optimization. We assume the setting of a network of agents that cooperatively…
BFGS-ADMM for Large-Scale Distributed Optimization
Yichuan Li, Yonghai Gong, Nikolaos M. Freris +2
We consider a class of distributed optimization problem where the objective function consists of a sum of strongly convex and smooth functions and a (possibly nonsmooth) convex reg…
DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization
Yichuan Li, Nikolaos M. Freris, Petros Voulgaris +1
In a multi-agent network, we consider the problem of minimizing an objective function that is expressed as the sum of private convex and smooth functions, and a (possibly) non-diff…
Learning Image Attacks toward Vision Guided Autonomous Vehicles
Hyung-Jin Yoon, Hamidreza Jafarnejadsani, Petros Voulgaris
While adversarial neural networks have been shown successful for static image attacks, very few approaches have been developed for attacking online image streams while taking into…