activity
20152023
most citedExtracting Electron Scattering Cross Sections from Swarm Data using Deep Neural Networks

19 citations · 92 across the 15 of their papers we have counts for

collaborators

21 papers

physics.plasm-ph2023★ 10 cited

Deep Learning assisted microwave-plasma interaction based technique for plasma density estimation

Pratik Ghosh, Bhaskar Chaudhury, Shishir Purohit +3

The electron density is a key parameter to characterize any plasma. Most of the plasma applications and research in the area of low-temperature plasmas (LTPs) are based on the accu…

physics.comp-ph2022★ 16 cited

Deep Learning Architecture Based Approach For 2D-Simulation of Microwave Plasma Interaction

Mihir Desai, Pratik Ghosh, Ahlad Kumar +1

This paper presents a convolutional neural network (CNN)-based deep learning model, inspired from UNet with series of encoder and decoder units with skip connections, for the simul…

cs.GT2022★ 3 cited

Competitive Equilibrium with Chores: Combinatorial Algorithm and Hardness

Bhaskar Ray Chaudhury, Jugal Garg, Peter McGlaughlin +1

We study the computational complexity of finding a competitive equilibrium (CE) with chores when agents have linear preferences. CE is one of the most preferred mechanisms for allo…

cs.GT2022★ 8 cited

EFX Allocations: Simplifications and Improvements

Hannaneh Akrami, Noga Alon, Bhaskar Ray Chaudhury +3

The existence of EFX allocations is a fundamental open problem in discrete fair division. Given a set of agents and indivisible goods, the goal is to determine the existence of an…

cs.GT2021

Polynomial Time Algorithms to Find an Approximate Competitive Equilibrium for Chores

Shant Boodaghians, Bhaskar Ray Chaudhury, Ruta Mehta

Competitive equilibrium with equal income (CEEI) is considered one of the best mechanisms to allocate a set of items among agents fairly and efficiently. In this paper, we study th…

cs.GT2021

Maximizing Nash Social Welfare in 2-Value Instances

Hannaneh Akrami, Bhaskar Ray Chaudhury, Martin Hoefer +6

We consider the problem of maximizing the Nash social welfare when allocating a set of indivisible goods to a set of agents. We study instances, in whic…