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researcher

Noah J. Bagazinski

3 papers here

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

author position
  • first author3

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

fields
  • cs.LG2
  • eess.SY1
ORCID 0000-0001-9893-8619

identity via Semantic Scholar / OpenAlex

most citedShip-D: Ship Hull Dataset for Design Optimization using Machine Learning

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SY2024

C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design

Noah J. Bagazinski, Faez Ahmed

Ship design is a complex design process that may take a team of naval architects many years to complete. Improving the ship design process can lead to significant cost savings, whi…

cs.LG2023★ 1 cited

ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints

Noah J. Bagazinski, Faez Ahmed

Ship design is a years-long process that requires balancing complex design trade-offs to create a ship that is efficient and effective. Finding new ways to improve the ship design…

cs.LG2023★ 1 cited

Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning

Noah J. Bagazinski, Faez Ahmed

Machine learning has recently made significant strides in reducing design cycle time for complex products. Ship design, which currently involves years long cycles and small batch p…

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