34 citations · 79 across the 7 of their papers we have counts for
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stat.ML2022★ 3 cited
Challenges in creative generative models for music: a divergence maximization perspective
Axel Chemla--Romeu-Santos, Philippe Esling
The development of generative Machine Learning (ML) models in creative practices, enabled by the recent improvements in usability and availability of pre-trained models, is raising…
stat.ML2020★ 4 cited
Cross-modal variational inference for bijective signal-symbol translation
Axel Chemla--Romeu-Santos, Stavros Ntalampiras, Philippe Esling +2
Extraction of symbolic information from signals is an active field of research enabling numerous applications especially in the Musical Information Retrieval domain. This complex t…