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Kosa Goucher-Lambert

3 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • cs.LG2
  • cs.CL1
ORCID 0000-0003-0850-9197

identity via Semantic Scholar / OpenAlex

most citedShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model

61 citations · 67 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2023★ 5 cited

Conceptual Design Generation Using Large Language Models

Kevin Ma, Daniele Grandi, Christopher McComb +1

Concept generation is a creative step in the conceptual design phase, where designers often turn to brainstorming, mindmapping, or crowdsourcing design ideas to complement their ow…

cs.LG2023★ 1 cited

How does agency impact human-AI collaborative design space exploration? A case study on ship design with deep generative models

Shahroz Khan, Panagiotis Kaklis, Kosa Goucher-Lambert

Typical parametric approaches restrict the exploration of diverse designs by generating variations based on a baseline design. In contrast, generative models provide a solution by…

cs.LG2023★ 61 cited

ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model

Shahroz Khan, Kosa Goucher-Lambert, Konstantinos Kostas +1

In this work, we introduce ShipHullGAN, a generic parametric modeller built using deep convolutional generative adversarial networks (GANs) for the versatile representation and gen…

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