Sebastian Berns
Research topic: High-Fidelity Diversity in Data-Driven Generative Systems
My research interests focus on machine intelligence in the creative process and on creativity as a cognitive phenomenon. I study generative machine learning algorithms in a computational creativity setting. In this context I am particularly interested in combining representation learning with symbolic reasoning systems.
Before transitioning into computation I worked independently as a graphic designer, specialising in web, typography and communication for art and culture.
GAIG Publications
2023
2022
2021
2020
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ICCC
2020
Bridging Generative Deep Learning and Computational Creativity
Berns, Sebastian and Colton, Simon,
in Proceedings of the 11th International Conference on Computational Creativity (ICCC’20),
2020.
pubs-2020
iccc
computational-creativity
deep-learning
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ICCC
2020
Creativity Theatre for Demonstrable Computational Creativity
Colton, Simon and McCormack, Jon and Cook, Michael and Berns, Sebastian,
in Proceedings of the 11th International Conference on Computational Creativity (ICCC’20),
pp. 288-291,
2020.
pubs-2020
iccc
computational-creativity
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