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researcher

N. Kulkarni

4 papers hereh-index 221 citations3 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.CA2
  • cs.LG1
  • math.AP1
same name
  • N. Kulkarni — 34 papers, h 28
  • N. Kulkarni — 9 papers, h 34
  • N. Kulkarni — 3 papers, h 10
  • N. Kulkarni — 3 papers, h 5
  • N. Kulkarni — 3 papers, h 9
  • N. Kulkarni — 1 paper, h 12

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

collaborators

4 papers

math.AP2026

The Erdős similarity conjecture and Rajchman measures

A. Iosevich, N. Kulkarni, N. Mora Cuéllar +2

Let A⊆R support a probability measure whose Fourier--Stieltjes transform tends to zero at infinity. We prove that, for every ε∈(0,1), there is a cl…

math.CA2026

The Erdős Similarity Conjecture for Two-Fold Sumsets with a Geometric Summand

N. Mora Cuellar, A. Iosevich, N. Kulkarni +2

We settle a major case in the two-set regime of the Erdős similarity conjecture: the sum of a geometric sequence and an arbitrary infinite set is never measure universal. Here a se…

math.CA2025

The Fourier Ratio and complexity of signals

K. Aldaleh, W. Burstein, G. Garza +12

We study the Fourier ratio of a signal f:ZN​→C, \[ \mathrm{FR}(f)\ :=\ \sqrt{N}\,\frac{\|\widehat f\|_{L^1(μ)}}{\|\widehat f\|_{L^2(μ)}} \ =\ \frac{\|\widehat f…

cs.LG2025

Differentially Private Federated Learning With Time-Adaptive Privacy Spending

Shahrzad Kiani, Nupur Kulkarni, Adam Dziedzic +2

Federated learning (FL) with differential privacy (DP) provides a framework for collaborative machine learning, enabling clients to train a shared model while adhering to strict pr…

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