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researcher

Ankur A. Kulkarni

25 papers hereh-index 13946 citations87 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author5
  • last author18

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.IT8
  • cs.GT6
  • eess.SY6
  • math.OC3
  • cs.DM1
  • cs.IR1
same name
  • Ankur A. Kulkarni — 2 papers, h 0
  • Ankur A. Kulkarni — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122023
most citedThe Quantum Advantage in Decentralized Control

3 citations · 7 across the 10 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.GT2018

Strategy-Proof Spectrum Allocation among Multiple Operators

Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar

To address the demand of exponentially increasing end users efficient use of limited spectrum is a necessity. For this, spectrum allocation among co-existing operators in licensed…

cs.DM2018

On Independent Cliques and Linear Complementarity Problems

Karan N. Chadha, Ankur A. Kulkarni

In recent work (Pandit and Kulkarni [Discrete Applied Mathematics, 244 (2018), pp. 155--169]), the independence number of a graph was characterized as the maximum of the ℓ1​ n…

cs.IT2018

Shannon meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer

Sharu Theresa Jose, Ankur A. Kulkarni

We study the setting of channel coding over a family of channels whose state is controlled by an adversarial jammer by viewing it as a zero-sum game between a finite blocklength en…

cs.IT2018

Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming

Sharu Theresa Jose, Ankur A. Kulkarni

A new finite blocklength converse for the Slepian- Wolf coding problem is presented which significantly improves on the best known converse for this problem, due to Miyake and Kana…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.