activity
20122026
most citedInteraction Screening: Efficient and Sample-Optimal Learning of Ising Models

45 citations · 207 across the 52 of their papers we have counts for

collaborators

62 papers

quant-ph2026

Conditions for Quantum Advantage in AC Power Flow

Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin +1

This paper aims to contextualize the requirements for Quantum Computing (QC) algorithms to achieve a quantum advantage in solving the alternating current power flow (ACPF) problem,…

eess.SY2026

PACR: Parameter-Optimized AC Power Flow Restoration for AC Feasible DCOPF Dispatch

Michael A. Boateng, Russell Bent, Sidhant Misra +3

The DC optimal power flow is widely used in power system operations because of its computational efficiency and scalability. However, DC dispatches are not guaranteed to satisfy th…

math.OC2026

General Revenue Adequacy Conditions for Energy Transport Networks

Sidhant Misra, Marc Vuffray, Anatoly Zlotnik +1

Optimization is widely used to determine the physical and financial exchange of wholesale electricity in organized markets. Guarantees of solution optimality and feasibility rest l…

cs.LG2026

Finite Sample Bounds for Learning with Score Matching

Devin Smedira, Abhijith Jayakumar, Sidhant Misra +2

Learning of continuous exponential family distributions with unbounded support remains an important area of research for both theory and applications in high-dimensional statistics…

cs.LG2026

Computationally sufficient statistics for Ising models

Abhijith Jayakumar, Shreya Shukla, Marc Vuffray +2

Learning Gibbs distributions using only sufficient statistics has long been recognized as a computationally hard problem. On the other hand, computationally efficient algorithms fo…

eess.SY2025

Towards AC Feasibility of DCOPF Dispatch

Michael A. Boateng, Russell Bent, Sidhant Misra +3

DC Optimal Power Flow (DCOPF) is widely utilized in power system operations due to its simplicity and computational efficiency. However, its lossless, reactive power-agnostic model…