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researcher

H. Mansour

24 papers hereh-index 242.6k citations127 works total

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

author position
  • sole author2
  • first author4
  • middle author14
  • last author4

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.IT9
  • cs.CV6
  • cs.LG4
  • math.NA2
  • eess.SP1
  • math.OC1
same name
  • H. Mansour — 15 papers, h 9
  • H. Mansour — 4 papers, h 5
  • H. Mansour — 1 paper, h 7
  • H. Mansour — 1 paper, h 2
  • H. Mansour — 1 paper, h 2
  • H. Mansour — 1 paper, 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
20102022
most citedLearning optimal nonlinearities for iterative thresholding algorithms

82 citations · 241 across the 20 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2022★ 1 cited

Physics-Informed Koopman Network

Yuying Liu, Aleksei Sholokhov, Hassan Mansour +1

Koopman operator theory is receiving increased attention due to its promise to linearize nonlinear dynamics. Neural networks that are developed to represent Koopman operators have…

cs.LG2019★ 37 cited

CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation

Jiawei Ma, Zheng Shou, Alireza Zareian +3

Many real-world applications involve multivariate, geo-tagged time series data: at each location, multiple sensors record corresponding measurements. For example, air quality monit…

cs.LG2016★ 57 cited

A Recursive Born Approach to Nonlinear Inverse Scattering

Ulugbek S. Kamilov, Dehong Liu, Hassan Mansour +1

The Iterative Born Approximation (IBA) is a well-known method for describing waves scattered by semi-transparent objects. In this paper, we present a novel nonlinear inverse scatte…

cs.LG2015★ 82 cited

Learning optimal nonlinearities for iterative thresholding algorithms

Ulugbek S. Kamilov, Hassan Mansour

Iterative shrinkage/thresholding algorithm (ISTA) is a well-studied method for finding sparse solutions to ill-posed inverse problems. In this letter, we present a data-driven sche…

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