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]