28 citations · 87 across the 9 of their papers we have counts for
12 papers
HGRP: Heterogeneous Graph Neural Network for Routability Prediction
Yule Sheng, Yue Yuan, Shan Shen +1
Routability prediction enables rapid evaluation of placement quality without routing, providing effective feedback for routability-driven placement optimization. Recent machine lea…
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…
Disentangling Hallucinations: Orthogonal Semantic Projection for Robust Interpretability
Emirhan Bilgiç, Baptiste Caramiaux, Zhi Yan +1
As Vision-Language Models are increasingly deployed in safety-critical applications, the trustworthiness of their explanations becomes crucial. Explainable AI (XAI) methods for Vis…
Computational Hermeneutics: Evaluating generative AI as a cultural technology
Cody Kommers, Ruth Ahnert, Maria Antoniak +35
Generative AI systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be measured rather than fundament…
Generative AI and Creative Work: Narratives, Values, and Impacts
Baptiste Caramiaux, Kate Crawford, Q. Vera Liao +2
Generative AI has gained a significant foothold in the creative and artistic sectors. In this context, the concept of creative work is influenced by discourses originating from tec…
Benchmarking XAI Explanations with Human-Aligned Evaluations
Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier +9
We introduce PASTA (Perceptual Assessment System for explanaTion of Artificial Intelligence), a novel human-centric framework for evaluating eXplainable AI (XAI) techniques in comp…
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…
Machine Learning Approaches For Motor Learning: A Short Review
Baptiste Caramiaux, Jules Françoise, Wanyu Liu +2
Machine learning approaches have seen considerable applications in human movement modeling, but remain limited for motor learning. Motor learning requires accounting for motor vari…
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…
AI in the media and creative industries
Giuseppe Amato, Malte Behrmann, Frédéric Bimbot +16
Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in…
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…