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Soroush Omranpour

Mila - Mcgill University

3 papers hereh-index 214 citations4 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.SI1
affiliations
  • Mila - Mcgill University

identity via Semantic Scholar / OpenAlex

most citedNews Labeling as Early as Possible: Real or Fake?

8 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024★ 1 cited

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data

Soroush Omranpour, Guillaume Rabusseau, Reihaneh Rabbany

In this paper, we tackle the challenge of predicting stock movements in financial markets by introducing Higher Order Transformers, a novel architecture designed for processing mul…

cs.LG2024★ 1 cited

Higher-Order Transformers With Kronecker-Structured Attention

Soroush Omranpour, Guillaume Rabusseau, Reihaneh Rabbany

Modern datasets are increasingly high-dimensional and multiway, often represented as tensor-valued data with multi-indexed variables. While Transformers excel in sequence modeling…

cs.SI2019★ 8 cited

News Labeling as Early as Possible: Real or Fake?

Maryam Ramezani, Mina Rafiei, Soroush Omranpour +1

Making disguise between real and fake news propagation through online social networks is an important issue in many applications. The time gap between the news release time and det…

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