28 citations · 87 across the 9 of their papers we have counts for
5 papers · 1 filter
Exploring Normativity in Stable Diffusion: Insights for XAI in the Arts
Michelle Dutoit, Baptiste Caramiaux
Generative text-to-image (T2I) systems are increasingly adopted in creative practice, yet their normative behaviors remain underexplored from the perspective of creative practition…
Using models of baseline gameplay to design for physical rehabilitation
Antoine Loriette, Baptiste Caramiaux, Sebastian Stein +1
Modified digital games manage to drive motivation in repetitive exercises needed for motor rehabilitation, however designing modifications that satisfy both rehabilitation and enga…
Artificial Intelligence in Music and Performance: A Subjective Art-Research Inquiry
Baptiste Caramiaux, Marco Donnarumma
This article presents a five-year collaboration situated at the intersection of Art practice and Scientific research in Human-Computer Interaction (HCI). At the core of our collabo…
Designing Deep Reinforcement Learning for Human Parameter Exploration
Hugo Scurto, Bavo Van Kerrebroeck, Baptiste Caramiaux +1
Software tools for generating digital sound often present users with high-dimensional, parametric interfaces, that may not facilitate exploration of diverse sound designs. In this…
The Machine Learning Algorithm as Creative Musical Tool
Rebecca Fiebrink, Baptiste Caramiaux
Machine learning is the capacity of a computational system to learn structures from datasets in order to make predictions on newly seen data. Such an approach offers a significant…