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Christos Thrampoulidis

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.IT2
  • cs.LG2
ORCID 0000-0001-9053-9365
same name
  • Christos Thrampoulidis — 12 papers, h 21
  • Christos Thrampoulidis — 8 papers, h 9
  • Christos Thrampoulidis — 7 papers, h 8
  • Christos Thrampoulidis — 6 papers
  • Christos Thrampoulidis — 6 papers, h 8
  • Christos Thrampoulidis — 4 papers, h 7

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
20142024
most citedThe Gaussian min-max theorem in the Presence of Convexity

20 citations · 21 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2024

Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features

Tina Behnia, Christos Thrampoulidis

Recent findings reveal that over-parameterized deep neural networks, trained beyond zero training-error, exhibit a distinctive structural pattern at the final layer, termed as Neur…

cs.LG2024

Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

Xuechen Zhang, Mingchen Li, Jiasi Chen +2

Modern classification problems exhibit heterogeneities across individual classes: Each class may have unique attributes, such as sample size, label quality, or predictability (easy…

cs.IT2016★ 1 cited

Phaseless super-resolution in the continuous domain

Myung Cho, Christos Thrampoulidis, Weiyu Xu +1

Phaseless super-resolution refers to the problem of superresolving a signal from only its low-frequency Fourier magnitude measurements. In this paper, we consider the phaseless sup…

cs.IT2014★ 20 cited

The Gaussian min-max theorem in the Presence of Convexity

Christos Thrampoulidis, Samet Oymak, Babak Hassibi

Gaussian comparison theorems are useful tools in probability theory; they are essential ingredients in the classical proofs of many results in empirical processes and extreme value…

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