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researcher

Andrew Na

2 papers here

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

author position
  • first author2

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

fields
  • cs.CV1
  • q-fin.MF1
ORCID 0000-0002-6162-8171

identity via Semantic Scholar / OpenAlex

most citedEfficient Pricing and Hedging of High Dimensional American Options Using Recurrent Networks

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

Efficient Denoising using Score Embedding in Score-based Diffusion Models

Andrew S. Na, William Gao, Justin W. L. Wan

It is well known that training a denoising score-based diffusion models requires tens of thousands of epochs and a substantial number of image data to train the model. In this pape…

q-fin.MF2023★ 11 cited

Efficient Pricing and Hedging of High Dimensional American Options Using Recurrent Networks

Andrew Na, Justin Wan

We propose a deep Recurrent neural network (RNN) framework for computing prices and deltas of American options in high dimensions. Our proposed framework uses two deep RNNs, where…

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