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researcher

Rima Arnaout

5 papers hereh-index 440 citations11 works total

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

author position
  • middle author4
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • cs.CV1
  • cs.IT1
same name
  • Rima Arnaout — 2 papers, h 19
  • Rima Arnaout — 1 paper

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

5 papers

cs.IT2026

Which Similarity-Sensitive Entropy (Sentropy)?

Phuc Nguyen, Josiah Couch, Rahul Bansal +5

Shannon entropy is not the only entropy that is relevant to machine-learning datasets, nor possibly even the most important one. Traditional entropies such as Shannon entropy captu…

cs.CV2026

Generative deep learning for foundational video translation in ultrasound

Nikolina Tomic, Roshni Bhatnagar, Sarthak Jain +4

Deep learning (DL) has the potential to revolutionize image acquisition and interpretation across medicine, however, attention to data imbalance and missingness is required. Ultras…

cs.LG2025

GEM-T: Generative Tabular Data via Fitting Moments

Miao Li, Phuc Nguyen, Christopher Tam +6

Tabular data dominates data science but poses challenges for generative models, especially when the data is limited or sensitive. We present a novel approach to generating syntheti…

cs.LG2025

X-Factor: Quality Is a Dataset-Intrinsic Property

Josiah Couch, Miao Li, Rima Arnaout +1

In the universal quest to optimize machine-learning classifiers, three factors -- model architecture, dataset size, and class balance -- have been shown to influence test-time perf…

cs.AI2025

Grade Inflation in Generative Models

Phuc Nguyen, Miao Li, Alexandra Morgan +2

Generative models hold great potential, but only if one can trust the evaluation of the data they generate. We show that many commonly used quality scores for comparing two-dimensi…

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