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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

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Showing 2020Show all

5 papers · 1 filter

physics.plasm-ph2020★ 19 cited

Extracting Electron Scattering Cross Sections from Swarm Data using Deep Neural Networks

Vishrut Jetly, Bhaskar Chaudhury

Electron-neutral scattering cross sections are fundamental quantities in simulations of low temperature plasmas used for many technological applications today. From these microscop…

cs.GT2020

Competitive Allocation of a Mixed Manna

Bhaskar Ray Chaudhury, Jugal Garg, Peter McGlaughlin +1

We study the fair division problem of allocating a mixed manna under additively separable piecewise linear concave (SPLC) utilities. A mixed manna contains goods that everyone like…

cs.GT2020★ 6 cited

Dividing Bads is Harder than Dividing Goods: On the Complexity of Fair and Efficient Division of Chores

Bhaskar Ray Chaudhury, Jugal Garg, Peter McGlaughlin +1

We study the chore division problem where a set of agents needs to divide a set of chores (bads) among themselves fairly and efficiently. We assume that agents have linear disutili…

cs.GT2020

Fair and Efficient Allocations under Subadditive Valuations

Bhaskar Ray Chaudhury, Jugal Garg, Ruta Mehta

We study the problem of allocating a set of indivisible goods among agents with subadditive valuations in a fair and efficient manner. Envy-Freeness up to any good (EFX) is the mos…

cs.GT2020★ 10 cited

EFX Exists for Three Agents

Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn

We study the problem of distributing a set of indivisible items among agents with additive valuations in a manner. The fairness notion under consideration is Envy-f…