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researcher

Deepak Paramanand

2 papers hereh-index 232 citations2 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedSynthetic Data Applications in Finance

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024

Six Levels of Privacy: A Framework for Financial Synthetic Data

Tucker Balch, Vamsi K. Potluru, Deepak Paramanand +1

Synthetic Data is increasingly important in financial applications. In addition to the benefits it provides, such as improved financial modeling and better testing procedures, it p…

cs.LG2024★ 8 cited

Synthetic Data Applications in Finance

Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta +17

Synthetic data has made tremendous strides in various commercial settings including finance, healthcare, and virtual reality. We present a broad overview of prototypical applicatio…

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