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researcher

Dingcheng Luo

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.NA2
  • math.OC1
  • physics.geo-ph1
ORCID 0000-0003-0466-6902

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedEfficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators

9 citations · 15 across the 4 of their papers we have counts for

collaborators
Showing math.OCShow all

1 paper · 1 filter

math.OC2023★ 9 cited

Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators

Dingcheng Luo, Thomas O'Leary-Roseberry, Peng Chen +1

We propose a novel machine learning framework for solving optimization problems governed by large-scale partial differential equations (PDEs) with high-dimensional random parameter…

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