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Makesh Narsimhan

1 paper here

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author position
  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • q-fin.ST1

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most citedDiscovering material information using hierarchical Reformer model on financial regulatory filings

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

q-fin.ST2022★ 1 cited

Discovering material information using hierarchical Reformer model on financial regulatory filings

Francois Mercier, Makesh Narsimhan

Most applications of machine learning for finance are related to forecasting tasks for investment decisions. Instead, we aim to promote a better understanding of financial markets…

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