Iterative Pattern Construction

Iterative Pattern Construction is a generative design methodology that systematically refines pattern configurations through successive cycles of evaluation and modification, distinguished by its reliance on feedback-driven adjustments to incrementally enhance structural coherence and functional performance within a specified design space.

21

Publications

2.9K

Citations

50

Authors

30

Institutions

Publications per year

2017–2026

2

Authors

50

  1. DE
    Denise E. Agosto

    Drexel University, United States

    3 publications · 236 citations

    3

    h-index

  2. AG
    Alex Graves

    Google (United States), United States

    2 publications · 1.7K citations

    2

    h-index

  3. DJ
    Danilo Jimenez Rezende

    Google (United States), United States

    2 publications · 1.7K citations

    2

    h-index

  4. KG
    Karol Gregor

    Google (United States), United States

    2 publications · 1.7K citations

    2

    h-index

  5. ID
    Ivo Danihelka

    Google DeepMind (United Kingdom), United Kingdom

    2 publications · 1.7K citations

    2

    h-index

1–5 of 50

Venues

  1. IEEE Transactions on Computers

    1 publications · 93 citations

    1

    h-index

  2. IEEE Transactions on Information Theory

    1 publications · 30 citations

    1

    h-index

  3. Water

    1 publications · 34 citations

    1

    h-index

  4. PLoS ONE

    1 publications · 16 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 965 citations

    1

    h-index

1–5