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Aarti Singh

6 papers hereh-index 7283 citations9 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.IT2
  • cs.AI1
  • cs.SI1
  • eess.SP1
  • stat.ML1
same name
  • Aarti Singh — 19 papers, h 18
  • Aarti Singh — 12 papers, h 14
  • Aarti Singh — 11 papers, h 8
  • Aarti Singh — 8 papers, h 8
  • Aarti Singh — 7 papers, h 7
  • Aarti Singh — 7 papers, h 5

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
20152018
most citedSignal Representations on Graphs: Tools and Applications

27 citations · 50 across the 5 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.AI2015★ 27 cited

Signal Representations on Graphs: Tools and Applications

Siheng Chen, Rohan Varma, Aarti Singh +1

We present a framework for representing and modeling data on graphs. Based on this framework, we study three typical classes of graph signals: smooth graph signals, piecewise-const…

cs.IT2015★ 6 cited

Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies

Siheng Chen, Rohan Varma, Aarti Singh +1

This paper builds theoretical foundations for the recovery of a newly proposed class of smooth graph signals, approximately bandlimited graph signals, under three sampling strategi…

stat.ML2015

A statistical perspective of sampling scores for linear regression

Siheng Chen, Rohan Varma, Aarti Singh +1

In this paper, we consider a statistical problem of learning a linear model from noisy samples. Existing work has focused on approximating the least squares solution by using lever…

cs.IT2015

Signal Recovery on Graphs: Random versus Experimentally Designed Sampling

Siheng Chen, Rohan Varma, Aarti Singh +1

We study signal recovery on graphs based on two sampling strategies: random sampling and experimentally designed sampling. We propose a new class of smooth graph signals, called ap…

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