Losses, Dissonances, and Distortions
Exploiting the creative possibilities of the numerical signals obtained during the training of a machine learning model.
I will be presenting this paper at the 5th Machine Learning for Creativity and Design Workshop at NeurIPS 2021.
The code is available here.
You can see an “expainody” video here:
Introduction In recent years, there has been a growing interest in using machine learning models for creative purposes. In most cases, this is with the use of large generative models which, as their name implies, can generate high-quality and realistic outputs in music, images, text, and others.