A Systematic Evaluation of GPT-2-Based Music Generation. - Berker Banar; Simon Colton (EvoMUSART, 2022)

Connecting Audio and Graphic Score Using Self-supervised Representation Learning - A Case Study with György Ligeti's Artikulation. - Berker Banar; Simon Colton (ICCC, 2022)

Identifying Critical Decision Points in Musical Compositions using Machine Learning. - Berker Banar; Simon Colton (MMSP, 2022)

A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation. - Berker Banar; Nick Bryan-Kinns; Simon Colton (AAAI, 2023)

Automatically Adding to Artistic Cultures. - Simon Colton; Berker Banar (EvoMUSART@EvoStar, 2023)

HiSSNet: Sound Event Detection and Speaker Identification via Hierarchical Prototypical Networks for Low-Resource Headphones. - N. Shashaank; Berker Banar; Mohammad Rasool Izadi; Jeremy Kemmerer; Shuo Zhang; Chuan-Che Jeff Huang (ICASSP, 2023)

Neuro-Symbolic Generation of Music with Talking Points. - Simon Colton; Berker Banar; Sara Cardinale (ICCC, 2023)

On the Notion of Creative Personhood. - Alison Pease; Simon Colton; Berker Banar (ICCC, 2023)

Exploring XAI for the Arts: Explaining Latent Space in Generative Music. - Nick Bryan-Kinns; Berker Banar; Corey Ford 002; Courtney N. Reed; Yixiao Zhang 002; Simon Colton; Jack Armitage (CoRR, 2023)

Automatic Generation of Expressive Piano Miniatures. - Simon Colton; Louis Bradshaw; Berker Banar; Keshav Bhandari (ICCC, 2024)

Exploring Variational Auto-encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI. - Nick Bryan-Kinns; Bingyuan Zhang; Songyan Zhao; Berker Banar (Mach. Intell. Res., 2024)