most citedRobustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

math.OC2023

Data-Driven Distributionally Robust Mitigation of Risk of Cascading Failures

Guangyi Liu, Arash Amini, Vivek Pandey +1

We introduce a novel data-driven method to mitigate the risk of cascading failures in delayed discrete-time Linear Time-Invariant (LTI) systems. Our approach involves formulating a…

eess.SY2023

Cascading Waves of Fluctuation in Time-delay Multi-agent Rendezvous

Guangyi Liu, Vivek Pandey, Christoforos Somarakis +1

We develop a framework to assess the risk of cascading failures when a team of agents aims to rendezvous in time in the presence of exogenous noise and communication time-delay. Th…

cs.LG2022★ 2 cited

Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input

Guangyi Liu, Arash Amini, Martin Takac +1

For a given stable recurrent neural network (RNN) that is trained to perform a classification task using sequential inputs, we quantify explicit robustness bounds as a function of…