Franceschelli, Giorgio;
Musolesi, Mirco;
(2024)
Creativity and Machine Learning: A Survey.
ACM Computing Surveys
10.1145/3664595.
(In press).
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Abstract
There is a growing interest in the area of machine learning and creativity. This survey presents an overview of the history and the state of the art of computational creativity theories, key machine learning techniques (including generative deep learning), and corresponding automatic evaluation methods. After presenting a critical discussion of the key contributions in this area, we outline the current research challenges and emerging opportunities in this field.
| Type: | Article |
|---|---|
| Title: | Creativity and Machine Learning: A Survey |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3664595 |
| Publisher version: | http://dx.doi.org/10.1145/3664595 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10192796 |
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