3 citations · 6 across the 19 of their papers we have counts for
4 papers · 1 filter
MUSE-Explainer: Counterfactual Explanations for Symbolic Music Graph Classification Models
Baptiste Hilaire, Emmanouil Karystinaios, Gerhard Widmer
Interpretability is essential for deploying deep learning models in symbolic music analysis, yet most research emphasizes model performance over explanation. To address this, we in…
EngravingGNN: A Hybrid Graph Neural Network for End-to-End Piano Score Engraving
Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer
This paper focuses on automatic music engraving, i.e., the creation of a humanly-readable musical score from musical content. This step is fundamental for all applications that inc…
WeaveMuse: An Open Agentic System for Multimodal Music Understanding and Generation
Emmanouil Karystinaios
Agentic AI has been standardized in industry as a practical paradigm for coordinating specialized models and tools to solve complex multimodal tasks. In this work, we present Weave…
AnalysisGNN: Unified Music Analysis with Graph Neural Networks
Emmanouil Karystinaios, Johannes Hentschel, Markus Neuwirth +1
Recent years have seen a boom in computational approaches to music analysis, yet each one is typically tailored to a specific analytical domain. In this work, we introduce Analysis…