Browse by Goldsmiths authors: Akten, Memo
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Number of items: 6.
Akten, Memo.
2021.
Deep Visual Instruments: Realtime Continuous, Meaningful Human Control over Deep Neural Networks for Creative Expression.
Doctoral thesis, Goldsmiths, University of London
[Thesis]
Akten, Memo; Fiebrink, Rebecca and Grierson, Mick.
2019.
'Learning to See: You Are What You See'.
In: SIGGRAPH 2019 Art Papers. Los Angeles, United States 28 July - 1 August 2019.
[Conference or Workshop Item]
Akten, Memo; Fiebrink, Rebecca and Grierson, Mick.
2018.
'Deep Meditations: Controlled navigation of latent space'.
In: NeurIPS 2018 Workshop on Machine Learning for Creativity and Design. Montreal, Canada 8 December 2018.
[Conference or Workshop Item]
Berio, Daniel; Akten, Memo; Leymarie, Frederic Fol; Grierson, Mick and Plamondon, Rejean.
2017.
'Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks'.
In: Proceedings of the 4th International Conference on Movement and Computing (MOCO). London, United Kingdom 28-30 June 2017.
[Conference or Workshop Item]
Akten, Memo and Grierson, Mick.
2016.
'Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks'.
In: Constructive Machine Learning Workshop, NIPS 2016. Barcelona, Spain 10 Dec 2016.
[Conference or Workshop Item]
Akten, Memo and Grierson, Mick.
2016.
'Real-time interactive sequence generation and control with Recurrent Neural Network ensembles'.
In: Recurrent Neural Networks Symposium, NIPS 2016. Barcelona, Spain 8 Dec 2016.
[Conference or Workshop Item]