18 citations · 37 across the 36 of their papers we have counts for
9 papers · 1 filter
A Parametric, Second-Order Cone Representable Model of Fairness for Decision-Making Problems
Kaarthik Sundar, Deepjyoti Deka, Russell Bent
The article develops a parametric model of fairness called "-fairness" that can be represented using a single second-order cone constraint and incorporated into existi…
Hierarchical Network Partitioning for Solution of Potential-Driven, Steady-State Nonlinear Network Flow Equations
Shriram Srinivasan, Kaarthik Sundar
The solution of potential-driven steady-state flow in large networks is a task which manifests in various engineering applications, such as transport of natural gas or water throug…
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach
Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar +2
Constrained optimization problems arise in various engineering systems such as inventory management and power grids. Standard deep neural network (DNN) based machine learning proxi…
for Graphs of Convex Sets
Kaarthik Sundar, Sivakumar Rathinam
We present a novel algorithm that fuses the existing convex-programming based approach with heuristic information to find optimality guarantees and near-optimal paths for the Short…
Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints
Manav Mishra, Hritik Bana, Saswata Sarkar +3
This article presents a deep reinforcement learning-based approach to tackle a persistent surveillance mission requiring a single unmanned aerial vehicle initially stationed at a d…
Optimization of District Heating Network Parameters in Steady-State Operation
Sai Krishna K. Hari, Anatoly Zlotnik, Shriram Srinivasan +2
We examine the modeling, simulation, and optimization of district heating systems, which are widely used for thermal transport using steam or hot water as a carrier. We propose a g…