4 citations · 7 across the 4 of their papers we have counts for
5 papers
Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory
Saeid Tizpaz-Niari, Sriram Sankaranarayanan
This paper leverages the statistics of extreme values to predict the worst-case convergence times of machine learning algorithms. Timing is a critical non-functional property of ML…
Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics
Keyvan Majd, Geoffrey Clark, Tanmay Khandait +4
Guaranteeing safety in human-centric applications is critical in robot learning as the learned policies may demonstrate unsafe behaviors in formerly unseen scenarios. We present a…
Stabilization of polynomial dynamical systems using linear programming based on Bernstein polynomials
Mohamed Amin Ben Sassi, Sriram Sankaranarayanan
In this paper, we deal with the problem of synthesizing static output feedback controllers for stabilizing polynomial systems. Our approach jointly synthesizes a Lyapunov function…
Linear Relaxations of Polynomial Positivity for Polynomial Lyapunov Function Synthesis
Mohamed Amin Ben Sassi, Sriram Sankaranarayanan, Xin Chen +1
In this paper, we examine linear programming (LP) based relaxations for synthesizing polynomial Lyapunov functions to prove the stability of polynomial ODEs. A common approach to L…
Determination of personalized diabetes treatment plans using a two-delay model
S. M. Kissler, C. Cichowitz, S. Sankaranarayanan +1
Diabetes cases worldwide have risen steadily over the past decades, lending urgency to the search for more efficient, effective, and personalized ways to treat the disease. Current…