Workshop
Computational creativity for music and the arts
Prof. Carmine Emanuele Cella - University of California, Berkeley
Day 1
Morning Session (09:00-12:00): On Creativity
- Introduction to Computational Creativity: New sounds, new music, new
technologies.- Discusses the relationship between Artificial Intelligence and the Arts and
Computational Creativity. - Explores how computers can support, enhance, and transform music making.
- Discusses the relationship between Artificial Intelligence and the Arts and
- What is Creativity? Discuss the question of whether computers can be creative.
Readings: R. L. De Màntaras, Artificial Intelligence and the Arts: Toward Computational
Creativity, M. Rhodes, An analysis of creativity, M. A. Boden, Computer models of
creativity.
Afternoon Session (13:00-15:00): The Pillars of Creative Computing (Part 1)
- Projective Representations: a unified view on data and learning.
- Readings: C. E. Cella, A geometric tour of machine learning (draft), 2024.
- Rule-based and Probabilistic Systems.
Readings: J. D. Férnandez, F. Vico, AI Methods in Algorithmic Composition: A
Comprehensive Survey.
Day 2
Morning Session (10:00-13:00): The Pillars of Creative Computing (Part 2)
- Optimisation Techniques.
Readings: C. E. Cella, Orchidea: a comprehensive framework for target-based computer-
assisted dynamic orchestration.
- Statistical Inference and Neural Networks.
Readings: H. C. Crayencour, C. E. Cella, Learning, probability and logic: towards a unified
approach for content-based Music Information Retrieval.
Afternoon Session (14:00-18:00): Problems, Examples, and Connections
- The problem of style transfer: unsupervised and unsupervised approaches.
Readings: L. A. Gatys, A. S. Ecker, M. Bethge, Image Style Transfer Using Convolutional
Neural Networks, D. Cope, Recombinant music: using the computer to explore musical
style, Noam Mor, Lior Wolf, Adam Polyak, Yaniv Taigman, A universal music translation
network.
Per iscriversi compilare il presente modulo google entro il 01/06/2025
link al modulo: https://forms.gle/gobPjxJGLQPqR7qS7
per info contattare la docente referente: Nicoletta Andreuccetti n.andreuccetti@docenti.madernalettimi.it