2 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
Biologically Inspired Collision Avoidance Without Distance Information
Thiago Marinho, Massi Amrouche, Dusan Stipanovic +2
Biological evidence shows that animals are capable of evading eminent collision without using depth information, relying solely on looming stimuli. In robotics, collision avoidance…
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks
Shankar A. Deka, Dušan M. Stipanović, Claire J. Tomlin
Convolutional and recurrent neural networks have been widely employed to achieve state-of-the-art performance on classification tasks. However, it has also been noted that these ne…