activity
20142026
most citedPerformance and Robustness Analysis of Stochastic Jump Linear Systems using Wasserstein metric

30 citations · 61 across the 30 of their papers we have counts for

collaborators

43 papers

math.OC2026

Linear Exponential Quadratic Gaussian Covariance Steering

Chiran B. Cherian, Yasemin Isik, Abhishek Halder

We formulate and analyze the linear exponential quadratic Gaussian (LEQG) covariance steering problem in continuous time over a given deadline (finite time horizon). The solution f…

math.OC2023

Neural Schrödinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assembly

Iman Nodozi, Charlie Yan, Mira Khare +2

We show that the minimum effort control of colloidal self-assembly can be naturally formulated in the order-parameter space as a generalized Schrödinger bridge problem -- a class o…

math.OC2023

Optimal Mass Transport over the Euler Equation

Charlie Yan, Iman Nodozi, Abhishek Halder

We consider the finite horizon optimal steering of the joint state probability distribution subject to the angular velocity dynamics governed by the Euler equation. The problem and…

math.DS2023

A Controlled Mean Field Model for Chiplet Population Dynamics

Iman Nodozi, Abhishek Halder, Ion Matei

In micro-assembly applications, ensemble of chiplets immersed in a dielectric fluid are steered using dielectrophoretic forces induced by an array of electrode population. Generali…

cs.LG2022

Proximal Mean Field Learning in Shallow Neural Networks

Alexis Teter, Iman Nodozi, Abhishek Halder

We propose a custom learning algorithm for shallow over-parameterized neural networks, i.e., networks with single hidden layer having infinite width. The infinite width of the hidd…

eess.SY2022

Convex and Nonconvex Sublinear Regression with Application to Data-driven Learning of Reach Sets

Shadi Haddad, Abhishek Halder

We consider estimating a compact set from finite data by approximating the support function of that set via sublinear regression. Support functions uniquely characterize a compact…