Generative Modeling Workflows

Generative Modeling Workflows is a computational framework that orchestrates sequential algorithmic operations for the systematic creation, manipulation, and optimization of generative models within the domain of Algorithmic Form Generation.

26

Publications

1.3K

Citations

159

Authors

51

Institutions

Publications per year

2017–2026

20

Authors

159

  1. LM
    Liane Makatura

    Massachusetts Institute of Technology, United States

    2 publications · 61 citations

    2

    h-index

  2. MT
    Megan Tjandrasuwita

    University of Washington, United States

    2 publications · 61 citations

    2

    h-index

  3. PM
    Pingchuan Ma

    Imperial College London, United Kingdom

    2 publications · 61 citations

    2

    h-index

  4. WM
    Wojciech Matusik

    Massachusetts Institute of Technology, United States

    2 publications · 61 citations

    2

    h-index

  5. PY
    Peter Yichen Chen

    University of Washington, United States

    2 publications · 61 citations

    2

    h-index

1–5 of 159

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 414 citations

    4

    h-index

  2. Software & Systems Modeling

    SoSyM · 1 publications · 18 citations

    1

    h-index

  3. eCAADe proceedings

    1 publications · 13 citations

    1

    h-index

  4. Harvard Data Science Review

    1 publications · 34 citations

    1

    h-index

  5. 1

    h-index

1–5