"A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much. - Zongyu Yin; Federico Reuben; Susan Stepney; Tom Collins (EvoMUSART, 2021)

Measuring When a Music Generation Algorithm Copies Too Much: The Originality Report, Cardinality Score, and Symbolic Fingerprinting by Geometric Hashing. - Zongyu Yin; Federico Reuben; Susan Stepney; Tom Collins (SN Comput. Sci., 2022)

Deep learning's shallow gains: a comparative evaluation of algorithms for automatic music generation. - Zongyu Yin; Federico Reuben; Susan Stepney; Tom Collins (Mach. Learn., 2023)

Variation Transformer: New Datasets, Models, and Comparative Evaluation for Symbolic Music Variation Generation. - Chenyu Gao; Federico Reuben; Tom Collins (ISMIR, 2024)