Diet deep generative audio models with structured lottery. - Philippe Esling; Ninon Devis; Adrien Bitton; Antoine Caillon; Axel Chemla-Romeu-Santos; Constance Douwes (CoRR, 2020)

A Multi-Objective Approach for Sustainable Generative Audio Models. - Constance Douwes; Philippe Esling; Jean-Pierre Briot (CoRR, 2021)

Is Quality Enoughƒ Integrating Energy Consumption in a Large-Scale Evaluation of Neural Audio Synthesis Models. - Constance Douwes; Giovanni Bindi; Antoine Caillon; Philippe Esling; Jean-Pierre Briot (ICASSP, 2023)

Hierarchical variational temporal learning for dynamic musical audio synthesis. (Sur l'impact environnemental des modèles génératifs profonds pour l'audio). - Constance Douwes (2023)

Normalizing Energy Consumption for Hardware-Independent Evaluation. - Constance Douwes; Romain Serizel (MLSP, 2024)

DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels. - Samuele Cornell; Janek Ebbers; Constance Douwes; Irene Martín-Morató; Manu Harju; Annamaria Mesaros; Romain Serizel (CoRR, 2024)

From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for SED Systems. - Constance Douwes; Romain Serizel (CoRR, 2024)

Energy Consumption Trends in Sound Event Detection Systems. - Constance Douwes; Romain Serizel (ICASSP, 2025)